Fast Data Strategy Houston Roadshow focused on the next industrial revolution on the horizon, driven by the application of big data, IoT and Cloud technologies.
• Denodo’s innovative customer, Anadarko, elaborated on how data virtualization serves as the key component in their prescriptive and predictive analytics initiatives, driven by multi-structured data ranging from customer data to equipment data.
• Denodo’s session, Unleashing the Power of Data, described the complexity of the modern data ecosystem and how to overcome challenges and successfully harness insights.
• Our Partner Noah Consulting, an expert analytics solutions provider in the energy industry, explained how your peers are innovating using new business models and reducing cost in areas such as Asset Management and Operations by leveraging Data Virtualization and Prescriptive and Predictive Analytics.
For more information on upcoming roadshows near you, follow this link: https://goo.gl/WBDHiE
Watch full webinar here: https://bit.ly/2xc6IO0
To solve these challenges, according to Gartner "through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture". It is clear that data virtualization has become a driving force for companies to implement agile, real-time and flexible enterprise data architecture.
In this session we will look at the data integration challenges solved by data virtualization, the main use cases and examine why this technology is growing so fastly. You will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Denodo Data Virtualization - IT Days in Luxembourg with OktopusDenodo
1) Denodo provides a data virtualization platform that connects disparate data sources and allows users to access and analyze enterprise data without moving or replicating it.
2) Customers like Bank of the West, Intel, and Asurion saw improvements like faster time to market, increased agility, and cost savings by using Denodo to replace ETL processes and create a single access layer for all their data.
3) Denodo's platform provides capabilities for data abstraction, zero replication, performance optimization, data governance, and deployment in multiple locations.
Watch full webinar here: https://bit.ly/3FcgiyK
Denodo recently released the Denodo Cloud Survey 2021. Learn about some of the insights we have from the survey as well as some of the use cases Denodo comes across in the cloud. We will also conduct a brief product demonstration highlighting how easy it is to migrate to the cloud and support access to data in hybrid cloud architectures.
In this session not only will we look at what you, the customers are saying in the Denodo Cloud Survey but also:
- We will explore how, in reality, many organizations are already operating in a hybrid or multi-cloud environment and how their needs are being met through the use of a logical data fabric and data virtualization
- We will discuss how easy it is to reduce the risk and minimize disruption when migrating to the cloud
- We will educate you on why a uniform security layer removes regulatory risk in data governance.
- Finally we will demonstrate some of the key capabilities of the Denodo Platform to support the above.
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
GDPR Noncompliance: Avoid the Risk with Data VirtualizationDenodo
The document discusses how data virtualization can help organizations comply with the General Data Protection Regulation (GDPR). It provides an overview of GDPR requirements and outlines how data virtualization addresses three pillars of compliance: providing a complete view of data subjects, enabling self-service data catalogs, and designing for privacy and responsibility. Specifically, data virtualization can give a single, real-time view of customer data across systems, allow discovery and access to curated data, and ensure consistent security, governance and auditability of personal data.
Data Virtualization: From Zero to Hero (Middle East)Denodo
Watch full webinar here: https://bit.ly/3vPcmQ4
At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.
Join us for this webinar to become a "Data Virtualization Hero" inside your organization.
In this session you will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationDenodo
Watch full webinar here: https://bit.ly/3ohtRqm
Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.
Watch on-demand this webinar to learn:
- How to create a logical data fabric with Denodo
- How to leverage the a data lake for MPP Acceleration and Summary Views
- How to leverage Presto with Denodo for file based data lakes (ie. S3, ADLS, HDFS, etc.)
Data Virtualization - Enabling Next Generation AnalyticsDenodo
Watch full webinar here: https://goo.gl/3gNMXX
Webinar featuring guest speaker Boris Evelson, Vice President, Principal Analyst at Forrester Research and Lakshmi Randall, Director of Product Marketing, Denodo.
Majority of enterprises today are data-aware. Being data-aware, or even data-driven, however, is not enough. Are your data-driven applications providing contextual and actionable insight? Are your analytics applications driving tangible business outcomes? Are you deriving insights from all the enterprise data? Enter Systems Of Insight (SOI), Forrester's latest analytical framework for insights-driven businesses.
In this webinar you will learn about the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. Specifically the webinar will explore roles data virtualization (aka Data Fabric) plays in modern SOI architectures such as:
• A single virtual catalog / view on all enterprise data sources including data lakes.
• A more agile and flexible virtual enterprise data warehouse.
• A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
Watch full webinar here: https://bit.ly/2xc6IO0
To solve these challenges, according to Gartner "through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture". It is clear that data virtualization has become a driving force for companies to implement agile, real-time and flexible enterprise data architecture.
In this session we will look at the data integration challenges solved by data virtualization, the main use cases and examine why this technology is growing so fastly. You will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Denodo Data Virtualization - IT Days in Luxembourg with OktopusDenodo
1) Denodo provides a data virtualization platform that connects disparate data sources and allows users to access and analyze enterprise data without moving or replicating it.
2) Customers like Bank of the West, Intel, and Asurion saw improvements like faster time to market, increased agility, and cost savings by using Denodo to replace ETL processes and create a single access layer for all their data.
3) Denodo's platform provides capabilities for data abstraction, zero replication, performance optimization, data governance, and deployment in multiple locations.
Watch full webinar here: https://bit.ly/3FcgiyK
Denodo recently released the Denodo Cloud Survey 2021. Learn about some of the insights we have from the survey as well as some of the use cases Denodo comes across in the cloud. We will also conduct a brief product demonstration highlighting how easy it is to migrate to the cloud and support access to data in hybrid cloud architectures.
In this session not only will we look at what you, the customers are saying in the Denodo Cloud Survey but also:
- We will explore how, in reality, many organizations are already operating in a hybrid or multi-cloud environment and how their needs are being met through the use of a logical data fabric and data virtualization
- We will discuss how easy it is to reduce the risk and minimize disruption when migrating to the cloud
- We will educate you on why a uniform security layer removes regulatory risk in data governance.
- Finally we will demonstrate some of the key capabilities of the Denodo Platform to support the above.
Empowering your Enterprise with a Self-Service Data Marketplace (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uqcAN0
Self-service is a major goal of modern data strategists. A successfully implemented self-service initiative means that business users have access to holistic and consistent views of data regardless of its location, source or type. As data unification and data collaboration become key critical success factors for organizations, data catalogs play a key role as the perfect companion for a virtual layer to fully empower those self-service initiatives and build a self-service data marketplace requiring minimal IT intervention.
Denodo’s Data Catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It provides business users with the tool to generate their own insights with proper security, governance, and guardrails.
In this session we will cover:
- The role of a virtual semantic layer in self-service initiatives
- Key ingredients of a successful self-service data marketplace Self-service (consumption) vs. inventory catalogs
- Best practices and advanced tips for successful deployment
- A Demonstration: Product Demo
- Examples of customers using Denodo’s Data Catalog to enable self-service initiatives
GDPR Noncompliance: Avoid the Risk with Data VirtualizationDenodo
The document discusses how data virtualization can help organizations comply with the General Data Protection Regulation (GDPR). It provides an overview of GDPR requirements and outlines how data virtualization addresses three pillars of compliance: providing a complete view of data subjects, enabling self-service data catalogs, and designing for privacy and responsibility. Specifically, data virtualization can give a single, real-time view of customer data across systems, allow discovery and access to curated data, and ensure consistent security, governance and auditability of personal data.
Data Virtualization: From Zero to Hero (Middle East)Denodo
Watch full webinar here: https://bit.ly/3vPcmQ4
At the rate which enterprise data volume is increasing, replicating data to a central repository for analysis purposes is slow and expensive which might not even be a necessary part of the data integration process in many situations. With technologies such as data virtualization, companies can now place a single secure virtual layer between all disparate data sources (including both on-premise and in the cloud) on one side and various consuming applications on the other. Data replication for data integration is now an option and not a necessity.
Join us for this webinar to become a "Data Virtualization Hero" inside your organization.
In this session you will learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Maximizing Data Lake ROI with Data Virtualization: A Technical DemonstrationDenodo
Watch full webinar here: https://bit.ly/3ohtRqm
Companies with corporate data lakes also need a strategy for how to best integrate them with their overall data fabric. To take full advantage of a data lake, data architects must determine what data belongs in the Lake vs. other sources, how end users are going to find and connect to the data they need as well as the best way to leverage the processing power of the data lake. This webinar will provide you with a deep dive look at how the Denodo Platform for data virtualization enables companies to maximize their investment in their corporate data lake.
Watch on-demand this webinar to learn:
- How to create a logical data fabric with Denodo
- How to leverage the a data lake for MPP Acceleration and Summary Views
- How to leverage Presto with Denodo for file based data lakes (ie. S3, ADLS, HDFS, etc.)
Data Virtualization - Enabling Next Generation AnalyticsDenodo
Watch full webinar here: https://goo.gl/3gNMXX
Webinar featuring guest speaker Boris Evelson, Vice President, Principal Analyst at Forrester Research and Lakshmi Randall, Director of Product Marketing, Denodo.
Majority of enterprises today are data-aware. Being data-aware, or even data-driven, however, is not enough. Are your data-driven applications providing contextual and actionable insight? Are your analytics applications driving tangible business outcomes? Are you deriving insights from all the enterprise data? Enter Systems Of Insight (SOI), Forrester's latest analytical framework for insights-driven businesses.
In this webinar you will learn about the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. Specifically the webinar will explore roles data virtualization (aka Data Fabric) plays in modern SOI architectures such as:
• A single virtual catalog / view on all enterprise data sources including data lakes.
• A more agile and flexible virtual enterprise data warehouse.
• A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Watch full webinar here: https://bit.ly/3dhbZTK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Watch this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
Denodo’s Data Catalog: Bridging the Gap between Data and Business (APAC)Denodo
Watch full webinar here: https://bit.ly/3nxGFam
Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.
In this session you will learn about:
- The role of a virtual semantic layer in self service initiatives
- What are the key capabilities of Denodo’s new Data Catalog
- Best practices and advanced tips for a successful deployment
- How customers are using the Denodo’s Data Catalog to enable self-service initiatives
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?Denodo
Watch full webinar here: https://bit.ly/3hfEO6d
Die SAP Analytics Cloud (kurz "SAC" genannt) ist ein Service in der Cloud, der umfangreiche Analysefunktionen für Benutzer in einem Produkt bereit stellt. Wie immer bei der SAP ist auch die SAC technologisch gut integriert in die Welt der SAP Systeme.
Doch die Daten, die Unternehmen heutzutage analysieren möchten, befinden sich sehr häufig in den unterschiedlichsten Datenquellen: In relationalen Datenbanken, in Data Lakes, in Webservices, in Dateien, in NoSQL Datenbanken,... Und so stellt sich zwangsläufig die Frage, wie Sie aus der SAC heraus alle Daten konnektieren, transformieren und kombinieren können. Und das möglichst live, d.h. mit Abfragen auf Echtzeit-Daten! Hier kommt die Datenvirtualisierung ins Spiel: Sie bietet Anwendungen (so auch der SAC) einen einheitlichen, integrierten und performanten Zugriff auf SAP Daten und non-SAP Daten.
Erfahren Sie in diesem Webcast:
- Wie die Datenvirtualisierung funktioniert (in a Nutshell)
- Wie Sie aus der SAC heraus auf alle ihre Daten in Echtzeit zugreifen können ("Live Data Connection" genannt)
- Wie die Datenvirtualisierung die Performance auch für Abfragen auf grossen Datenmengen optimiert
In Memory Parallel Processing for Big Data ScenariosDenodo
Watch the full webinar on demand here: https://goo.gl/5VyGns
Denodo Platform offers one of the most sought after data fabric capabilities through data discovery, preparation, curation and integration across the broadest range of data sources. As data volume and variety grows exponentially, Denodo Platform 7.0 will offer in-memory massive parallel processing (MPP) capability for the most advanced query optimization in the market.
Attend this session to learn:
• How Denodo Platform 7.0’s native built-in integration with MPP systems will provide query acceleration and MPP caching
• How to successfully approach highly complex big data scenarios, leveraging inexpensive MPP solutions
• With the MPP capability in place, how data driven insights can be generated in real-time with Denodo Platform
Agenda:
• Challenges with traditional architectures
• Denodo Platform MPP capabilities and applications
• Product demonstration
• Q&A
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Watch full webinar here: https://buff.ly/2mHGaLA
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
• What data virtualization really is
• How it differs from other enterprise data integration technologies
• Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The most important use cases and key patterns of data virtualization
• The benefits of data virtualization
Applying Big Data Superpowers to HealthcarePaul Boal
When I see a data analyst quickly transform and drill through a new pile of data to uncover a keen insight, I feel like I'm watching a new movie from the Marvel universe. If you haven't explored and learned to apply cloud, big data, streaming data, and rapid analytics techniques, then you haven't uncovered your superpowers, yet. Here's how you can get started.
Best Practices: Data Virtualization Perspectives and Best PracticesDenodo
These are the slides from a presentation given by Rajeev Rangachari, Senior Technology Architect, Infosys at Fast Data Strategy Roadshow in San Francisco. Infosys were the official co sponsors of this event.
For more information about our partners Infosys, follow this link: https://goo.gl/wVy5j4
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3sumuL5
Join KashTech and Denodo to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.
Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"
Register to attend and learn how Data Virtualization can:
- Accelerate the delivery of data to users
- Drive digital transformation initiatives
- Reduce project costs and timelines
- Quickly deliver value to your organization
Data Virtualization: Introduction and Business Value (UK)Denodo
This document provides an overview of a webinar on data virtualization and the Denodo platform. The webinar agenda includes an introduction to adaptive data architectures and data virtualization, benefits of data virtualization, a demo of the Denodo platform, and a question and answer session. Key takeaways are that traditional data integration technologies do not support today's complex, distributed data environments, while data virtualization provides a way to access and integrate data across multiple sources.
Data Virtualization: An Essential Component of a Cloud Data LakeDenodo
Watch full webinar here: https://bit.ly/33GgqE9
Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:
- The benefits and shortcoming of cloud data lakes
- The role and value of data virtualization in this scenario
- New development in data virtualization for cloud
Agile Data Management with Enterprise Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3juxqaw
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
- and to learn how to leverage the Denodo Data Virtualization platform to implement these modern data architectures.
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Denodo
Watch full webinar here: https://bit.ly/3hgOSwm
Data Lake technologies have been in constant evolution in recent years, with each iteration primising to fix what previous ones failed to accomplish. Several data lake engines are hitting the market with better ingestion, governance, and acceleration capabilities that aim to create the ultimate data repository. But isn't that the promise of a logical architecture with data virtualization too? So, what’s the difference between the two technologies? Are they friends or foes? This session will explore the details.
How Data Virtualization Puts Machine Learning into Production (APAC)Denodo
Watch full webinar here: https://bit.ly/3mJJ4w9
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
Watch full webinar here: https://bit.ly/34iCruM
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...Denodo
In this presentation, executives from Denodo preview the new Denodo Platform 6.0 release that delivers Dynamic Query Optimizer, cloud offering on Amazon Web Services, and self-service data discovery and search. Over 30 analysts, led by Claudia Imhoff, provide input on strategic direction and benefits of Denodo 6.0 to the data virtualization and the broader data integration market.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/DR6r3m.
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingDenodo
Watch full webinar here: https://bit.ly/37YkgN4
This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.
These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.
During the session we'll address:
- What is a data-driven enterprise?
- What are the critical success factors?
- What are companies doing to create a data-driven enterprise and why?
- What progress are they making?
- What are the plans on people, process and technologies?
- Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
- How should you get started?
Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtua...Denodo
Watch full webinar here: https://bit.ly/2Yc8nkc
The Protection of Personal Information Act (POPI) came into full effect in South Africa on July 1st, 2021. POPI will affect how businesses that serve in South Africa collect, use and transfer data, forcing them to provide specific reasons and needs for the personal data they gather and prove their compliance with the principles established by the regulation.
The regulation is already creating many challenges for companies, including:
- Ensuring secure access to most current data, whether on or off-premise
- Consistent security across all data sources
- Data access audit
- Ability to provide data lineage
This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the POPI Act. It will also include a live demonstration of how easy it can be to achieve the desired level of security with data virtualization. Data virtualization is an agile, flexible data integration technology that can help organizations address the growing challenges in data governance, security, and compliance.
Join the webinar to learn more about the benefits of using data virtualization to smoothly comply with the POPI Act.
Data Virtualization. An Introduction (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uiXVoC
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit..?
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo
Watch full webinar here: https://buff.ly/46pRfV7
This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.
Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.
Value for the Customer: Explore the tangible benefits that Denodo offers to its customers. From cost savings to improved decision-making, discover how the Denodo Platform helps organizations derive maximum value from their data assets.
Five Different Use Cases: Uncover five real-world use cases where Denodo's data virtualization platform has made a significant impact. From data governance to analytics, Denodo proves its versatility across a variety of domains.
- Logical Data Fabric
- Self Service Analytics
- Data Governance
- 360 degree of Entities
- Hybrid/Multi-Cloud Integration
Watch this illuminating session to gain insights into the transformative capabilities of the Denodo Platform.
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
Watch full webinar here: https://bit.ly/3dhbZTK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Watch this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
Denodo’s Data Catalog: Bridging the Gap between Data and Business (APAC)Denodo
Watch full webinar here: https://bit.ly/3nxGFam
Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.
In this session you will learn about:
- The role of a virtual semantic layer in self service initiatives
- What are the key capabilities of Denodo’s new Data Catalog
- Best practices and advanced tips for a successful deployment
- How customers are using the Denodo’s Data Catalog to enable self-service initiatives
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?Denodo
Watch full webinar here: https://bit.ly/3hfEO6d
Die SAP Analytics Cloud (kurz "SAC" genannt) ist ein Service in der Cloud, der umfangreiche Analysefunktionen für Benutzer in einem Produkt bereit stellt. Wie immer bei der SAP ist auch die SAC technologisch gut integriert in die Welt der SAP Systeme.
Doch die Daten, die Unternehmen heutzutage analysieren möchten, befinden sich sehr häufig in den unterschiedlichsten Datenquellen: In relationalen Datenbanken, in Data Lakes, in Webservices, in Dateien, in NoSQL Datenbanken,... Und so stellt sich zwangsläufig die Frage, wie Sie aus der SAC heraus alle Daten konnektieren, transformieren und kombinieren können. Und das möglichst live, d.h. mit Abfragen auf Echtzeit-Daten! Hier kommt die Datenvirtualisierung ins Spiel: Sie bietet Anwendungen (so auch der SAC) einen einheitlichen, integrierten und performanten Zugriff auf SAP Daten und non-SAP Daten.
Erfahren Sie in diesem Webcast:
- Wie die Datenvirtualisierung funktioniert (in a Nutshell)
- Wie Sie aus der SAC heraus auf alle ihre Daten in Echtzeit zugreifen können ("Live Data Connection" genannt)
- Wie die Datenvirtualisierung die Performance auch für Abfragen auf grossen Datenmengen optimiert
In Memory Parallel Processing for Big Data ScenariosDenodo
Watch the full webinar on demand here: https://goo.gl/5VyGns
Denodo Platform offers one of the most sought after data fabric capabilities through data discovery, preparation, curation and integration across the broadest range of data sources. As data volume and variety grows exponentially, Denodo Platform 7.0 will offer in-memory massive parallel processing (MPP) capability for the most advanced query optimization in the market.
Attend this session to learn:
• How Denodo Platform 7.0’s native built-in integration with MPP systems will provide query acceleration and MPP caching
• How to successfully approach highly complex big data scenarios, leveraging inexpensive MPP solutions
• With the MPP capability in place, how data driven insights can be generated in real-time with Denodo Platform
Agenda:
• Challenges with traditional architectures
• Denodo Platform MPP capabilities and applications
• Product demonstration
• Q&A
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Watch full webinar here: https://buff.ly/2mHGaLA
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
• What data virtualization really is
• How it differs from other enterprise data integration technologies
• Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The most important use cases and key patterns of data virtualization
• The benefits of data virtualization
Applying Big Data Superpowers to HealthcarePaul Boal
When I see a data analyst quickly transform and drill through a new pile of data to uncover a keen insight, I feel like I'm watching a new movie from the Marvel universe. If you haven't explored and learned to apply cloud, big data, streaming data, and rapid analytics techniques, then you haven't uncovered your superpowers, yet. Here's how you can get started.
Best Practices: Data Virtualization Perspectives and Best PracticesDenodo
These are the slides from a presentation given by Rajeev Rangachari, Senior Technology Architect, Infosys at Fast Data Strategy Roadshow in San Francisco. Infosys were the official co sponsors of this event.
For more information about our partners Infosys, follow this link: https://goo.gl/wVy5j4
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3sumuL5
Join KashTech and Denodo to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.
Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"
Register to attend and learn how Data Virtualization can:
- Accelerate the delivery of data to users
- Drive digital transformation initiatives
- Reduce project costs and timelines
- Quickly deliver value to your organization
Data Virtualization: Introduction and Business Value (UK)Denodo
This document provides an overview of a webinar on data virtualization and the Denodo platform. The webinar agenda includes an introduction to adaptive data architectures and data virtualization, benefits of data virtualization, a demo of the Denodo platform, and a question and answer session. Key takeaways are that traditional data integration technologies do not support today's complex, distributed data environments, while data virtualization provides a way to access and integrate data across multiple sources.
Data Virtualization: An Essential Component of a Cloud Data LakeDenodo
Watch full webinar here: https://bit.ly/33GgqE9
Data Lake strategies seem to have found their perfect companion in cloud providers. After years of criticism and struggles in the on-prem Hadoop world, data lakes are flourishing thanks to the simplification in management and low storage prices provided by SaaS vendors. For some, this is the ultimate data strategy. For others, just a repetition of the same mistakes. Attend this session to learn:
- The benefits and shortcoming of cloud data lakes
- The role and value of data virtualization in this scenario
- New development in data virtualization for cloud
Agile Data Management with Enterprise Data Fabric (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3juxqaw
In a world where machine learning and artificial intelligence are changing our everyday lives, digital transformation tops the strategic agenda in many private and government organizations. Data is becoming the lifeblood of a company, flowing seamlessly through it to enable deep business insights, create new opportunities, and optimize operations.
Chief Data Officers and Data Architects are under continuous pressure to find the best ways to manage the overwhelming volumes of the data that tend to become more and more distributed and diverse.
Moving data physically to a single location for reporting and analytics is not an option anymore – this is the fact accepted by the majority of the data professionals.
Join us for this webinar to know about the modern virtual data landscapes including:
- Virtual Data Fabric
- Data Mesh
- Multi-Cloud Hybrid architecture
- and to learn how to leverage the Denodo Data Virtualization platform to implement these modern data architectures.
Data Lake Acceleration vs. Data Virtualization - What’s the difference?Denodo
Watch full webinar here: https://bit.ly/3hgOSwm
Data Lake technologies have been in constant evolution in recent years, with each iteration primising to fix what previous ones failed to accomplish. Several data lake engines are hitting the market with better ingestion, governance, and acceleration capabilities that aim to create the ultimate data repository. But isn't that the promise of a logical architecture with data virtualization too? So, what’s the difference between the two technologies? Are they friends or foes? This session will explore the details.
How Data Virtualization Puts Machine Learning into Production (APAC)Denodo
Watch full webinar here: https://bit.ly/3mJJ4w9
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc
Bridging the Last Mile: Getting Data to the People Who Need It (APAC)Denodo
Watch full webinar here: https://bit.ly/34iCruM
Many organizations are embarking on strategically important journeys to embrace data and analytics. The goal can be to improve internal efficiencies, improve the customer experience, drive new business models and revenue streams, or – in the public sector – provide better services. All of these goals require empowering employees to act on data and analytics and to make data-driven decisions. However, getting data – the right data at the right time – to these employees is a huge challenge and traditional technologies and data architectures are simply not up to this task. This webinar will look at how organizations are using Data Virtualization to quickly and efficiently get data to the people that need it.
Attend this session to learn:
- The challenges organizations face when trying to get data to the business users in a timely manner
- How Data Virtualization can accelerate time-to-value for an organization’s data assets
- Examples of leading companies that used data virtualization to get the right data to the users at the right time
Analyst View of Data Virtualization: Conversations with Boulder Business Inte...Denodo
In this presentation, executives from Denodo preview the new Denodo Platform 6.0 release that delivers Dynamic Query Optimizer, cloud offering on Amazon Web Services, and self-service data discovery and search. Over 30 analysts, led by Claudia Imhoff, provide input on strategic direction and benefits of Denodo 6.0 to the data virtualization and the broader data integration market.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/DR6r3m.
Analyst Webinar: Best Practices In Enabling Data-Driven Decision MakingDenodo
Watch full webinar here: https://bit.ly/37YkgN4
This presentation looks at the trends that are emerging from companies on their journeys to becoming data-driven enterprises.
These trends are taken from a survey of 500 companies and highlight critical success factors, what companies are doing, their progress so far and their plans going forward. It also looks at the role that data virtualization has within the data driven enterprise.
During the session we'll address:
- What is a data-driven enterprise?
- What are the critical success factors?
- What are companies doing to create a data-driven enterprise and why?
- What progress are they making?
- What are the plans on people, process and technologies?
- Why is data virtualization central to provisioning and accessing data in a data-driven enterprise?
- How should you get started?
Rethink Your Data Governance - POPI Act Compliance Made Easy with Data Virtua...Denodo
Watch full webinar here: https://bit.ly/2Yc8nkc
The Protection of Personal Information Act (POPI) came into full effect in South Africa on July 1st, 2021. POPI will affect how businesses that serve in South Africa collect, use and transfer data, forcing them to provide specific reasons and needs for the personal data they gather and prove their compliance with the principles established by the regulation.
The regulation is already creating many challenges for companies, including:
- Ensuring secure access to most current data, whether on or off-premise
- Consistent security across all data sources
- Data access audit
- Ability to provide data lineage
This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the POPI Act. It will also include a live demonstration of how easy it can be to achieve the desired level of security with data virtualization. Data virtualization is an agile, flexible data integration technology that can help organizations address the growing challenges in data governance, security, and compliance.
Join the webinar to learn more about the benefits of using data virtualization to smoothly comply with the POPI Act.
Data Virtualization. An Introduction (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3uiXVoC
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit..?
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo
Watch full webinar here: https://buff.ly/46pRfV7
This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.
Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.
Value for the Customer: Explore the tangible benefits that Denodo offers to its customers. From cost savings to improved decision-making, discover how the Denodo Platform helps organizations derive maximum value from their data assets.
Five Different Use Cases: Uncover five real-world use cases where Denodo's data virtualization platform has made a significant impact. From data governance to analytics, Denodo proves its versatility across a variety of domains.
- Logical Data Fabric
- Self Service Analytics
- Data Governance
- 360 degree of Entities
- Hybrid/Multi-Cloud Integration
Watch this illuminating session to gain insights into the transformative capabilities of the Denodo Platform.
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
Watch full webinar here: https://bit.ly/3puUCIc
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Watch on-demand this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise? Where does it fit?
Watch full webinar here: https://bit.ly/2vN59VK
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
- What data virtualization really is.
- How it differs from other enterprise data integration technologies.
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations.
Watch full webinar here: https://buff.ly/2XXbNB7
What started to evolve as the most agile and real-time enterprise data fabric, Data Virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.
Attend this session to learn:
*What data virtualization really is
*How it differs from other enterprise data integration technologies
*Why data virtualization is finding enterprise wide deployment inside some of the largest organizations
An Introduction to Data Virtualization in 2018Denodo
Watch full webinar on demand here: https://goo.gl/Rdrc1w
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The all important use cases and key patterns of data virtualization
• What to expect in the upcoming sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization in big data analytics, cloud migration and various other scenarios
Agenda:
• Introduction & benefits of DV
• Summary & next steps
• Q&A
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
Introduction to Modern Data Virtualization 2021 (APAC)Denodo
Watch full webinar here: https://bit.ly/2XXyc3R
“Through 2022, 60% of all organisations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch on-demand this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
Connecting Silos in Real Time with Data VirtualizationDenodo
The document discusses data virtualization as a solution to integrate disparate data sources in real-time. It outlines challenges with traditional data integration approaches and describes how a data abstraction layer using data virtualization can provide a single access point for all data while supporting security, governance and self-service. Key benefits include reducing data silos, faster data access, lower integration costs and enabling real-time decisions.
Best Practices in the Cloud for Data Management (US)Denodo
Watch here: https://bit.ly/2Npt82U
If you have data, you are engaged in data management—be sure to do it effectively.
As organizations are assessing how COVID-19 has impacted their operations, new possibilities and uncharted routes are becoming the norm for many businesses. While exploring and implementing different deployment and operational models, the question of data management naturally surfaces while considering how these changes impact your data. Is this the right time to focus on data management? The reality is that if you have data, you are engaged in data management and so the real question is, are you doing it well?
Join Brice Giesbrecht from Caserta and Mitesh Shah from Denodo to explore data management challenges and solutions facing data driven organizations.
Introduction to Modern Data Virtualization (US)Denodo
Watch full webinar here: https://bit.ly/3uyvxN5
“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
- How to easily get started with Denodo Standard 8.0
Big Data LDN 2018: CONNECTING SILOS IN REAL-TIME WITH DATA VIRTUALIZATIONMatt Stubbs
Date: 14th November 2018
Location: Keynote Theatre
Time: 13:50 - 14:20
Speaker: Becky Smith
Organisation: Denodo
About: How many users inside and outside of your organization access your organization’s data? Dozens? Hundreds is probably more like it, each with their own structure and content requirements as well as different access rights. As a result, many organizations have witnessed the formation of “data delivery mills,” in various shapes and sizes. How does one create order and reliability in this world of chaotic data streams? Quite easily, if it’s done with data virtualization.
According to Gartner, "through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.” Data virtualization enables organizations to gain data insights from multiple, distributed data sources without the time-consuming processes of data extraction and loading. This allows for faster insights and fact-based decisions, which help business realize value sooner.
Join us to find out more about:
• What data virtualization actually means and how it differs from traditional data integration approaches.
• How you can connect and combine all your data in real-time, without compromising on scalability, security or governance.
• The benefits of data virtualization and its most important use cases.
Watch full webinar here: https://bit.ly/2Y0vudM
What is Data Virtualization and why do I care? In this webinar we intend to help you understand not only what Data Virtualization is but why it's a critical component of any organization's data fabric and how it fits. How data virtualization liberates and empowers your business users via data discovery, data wrangling to generation of reusable reporting objects and data services. Digital transformation demands that we empower all consumers of data within the organization, it also demands agility too. Data Virtualization gives you meaningful access to information that can be shared by a myriad of consumers.
Register to attend this session to learn:
- What is Data Virtualization?
- Why do I need Data Virtualization in my organization?
- How do I implement Data Virtualization in my enterprise?
Your Data is Waiting. What are the Top 5 Trends for Data in 2022? (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3saONRK
COVID-19 has pushed every industry and organization to embrace digital transformation at scale, upending the way many businesses will operate for the foreseeable future. Organizations no longer tolerate monolithic and centralized data architecture; they are embracing flexibility, modularity, and distributed data architecture to help drive innovation and modernize processes.
The pandemic has compelled organizations to accelerate their digital transformation initiatives and look for smarter and more agile ways to manage and leverage their corporate data assets. Data governance has become challenging in the ever-increasing complexity and distributed nature of the data ecosystem. Interoperability, collaboration and trust in data are imperative for a business to succeed. Data needs to be easily accessible and fit for purpose.
In this session, Denodo experts will discuss 5 key trends that are expected to be top of mind for CIOs and CDOs;
- Distributed Data Environments
- Decision Intelligence
- Modern Data Architecture
- Composable Data & Analytics
- Hyper-personalized Experiences
Virtualisation de données : Enjeux, Usages & BénéficesDenodo
Watch full webinar here: https://bit.ly/3oah4ng
Gartner a récemment qualifié la Data Virtualisation comme étant une pièce maitresse des architectures d’intégration de données.
Découvrez :
- Les bénéfices d’une plateforme de virtualisation de données
- La multiplication des usages : Lakehouse, Data Science, Big Data, Data Service & IoT
- La création d’une vue unifiée de votre patrimoine de données sans transiger sur la performance
- La construction d’une architecture d’intégration Agile des données : on-premise, dans le cloud ou hybride
Denodo DataFest 2016: Data Science: Operationalizing Analytical Models in Rea...Denodo
Watch the full session: Denodo DataFest 2016 sessions: https://goo.gl/yVJnti
Data virtualization starts with democratizing data access for business users, but goes well beyond to enable entire analytics life cycle. This session will discuss the critical role of data virtualization in the four key phases of big data analytics: Discovery of raw and enriched data, Analytic Exploration, Real-time Operationalization, and Predictive Intervention.
In this session, you will learn:
• Design of advanced analytics with view towards business goal realization
• The role of data virtualization in enabling analytics through four key phases
• How to exploit product capabilities relevant to each stage
• Creating a system of governed self-service and collaborative analytics
This session is part of the Denodo DataFest 2016 event. You can also watch more Denodo DataFest sessions on demand here: https://goo.gl/VXb6M6
Accelerate Migration to the Cloud using Data Virtualization (APAC)Denodo
This document summarizes an upcoming webinar from Denodo about data virtualization. The webinar will cover challenges with cloud migration and how data virtualization can help accelerate cloud migration. It will include discussions of cloud use cases, migration strategies, case studies and a product demonstration. The agenda outlines topics on challenges with cloud migration, migration architectures, use cases and case studies, a product demo, and Q&A.
Data Virtualization, a Strategic IT Investment to Build Modern Enterprise Dat...Denodo
This content was presented during the Smart Data Summit Dubai 2015 in the UAE on May 25, 2015, by Jesus Barrasa, Senior Solutions Architect at Denodo Technologies.
In the era of Big Data, IoT, Cloud and Social Media, Information Architects are forced to rethink how to tackle data management and integration in the enterprise. Traditional approaches based on data replication and rigid information models lack the flexibility to deal with this new hybrid reality. New data sources and an increasing variety of consuming applications, like mobile apps and SaaS, add more complexity to the problem of delivering the right data, in the right format, and at the right time to the business. Data Virtualization emerges in this new scenario as the key enabler of agile, maintainable and future-proof data architectures.
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Similar to Fast Data Strategy Houston Roadshow Presentation (20)
Enterprise Monitoring and Auditing in DenodoDenodo
Watch full webinar here: https://buff.ly/3P3l4oK
Proper monitoring of an enterprise system is critical to understanding its capacity and growth, anticipating potential issues, and even understanding key ROI metrics. This also facilitates the implementation of policies and user access audits which are key to optimizing the resource utilization in an organization. Do you want to learn more about the new Denodo features for monitoring, auditing, and visualizing enterprise monitoring data?
Join us for the session with Vijayalakshmi Mani, Data Engineer at Denodo, to understand how the new features and components help in monitoring your Denodo Servers and the resource utilizations and how to extract the most out of the logs that the Denodo Platform generates including FinOps information.
Watch on-demand and Learn:
- What is a Denodo Monitor and what’s new in it?
- How to visualize the Denodo Monitor Information and use of Diagnostics & Monitoring Tool
- Introduction to the new Denodo Dashboard
- Demonstration on the Denodo Dashboard
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
Watch full webinar here: https://buff.ly/4bYOOgb
With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them.
Attend this session to learn:
- The importance of FinOps in a cloud architecture.
- How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from?
- What actions and controls the Denodo Platform offers to keep costs at bay.
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
Watch full webinar here: https://buff.ly/3wBhxYb
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Watch on-demand and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
What you need to know about Generative AI and Data Management?Denodo
Watch full webinar here: https://buff.ly/3UXy0A2
It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management.
Join us on this webinar to learn about:
- The opportunities and challenges presented by GenAI today.
- Exploiting GenAI to democratize data management.
- How to augment GenAI applications with corporate data and knowledge.
- How to get started.
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
Watch full webinar here: https://buff.ly/48rpLQ3
Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment.
This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges.
Key Takeaways:
- How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape?
- Keys to balancing data accessibility with security and privacy in today's data-driven environment.
- What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them?
We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
Watch full webinar here: https://buff.ly/3OCQvGk
In this session, Denodo Sales Engineer, Yik Chuan Tan, will guide you through the art of delivering a compelling demo of the Denodo Platform with Denodo Demo Lite. Watch to uncover the significant functionalities that set Denodo apart and learn how to effectively win over potential customers.
In this session, we will cover:
Understanding the Denodo Platform & Tailoring Your Demo to Prospect Needs: By gaining a comprehensive understanding of the Denodo Platform, its architecture, and how it addresses data management challenges, you can customize your demo to align with the specific needs and pain points of your prospects, including:
- seamless data integration with real-time access
- data security and governance
- self-service data discovery
- advanced analytics and reporting
- performance optimization scalability and deployment
Watch this Denodo demo session and acquire the skills and knowledge necessary to captivate your prospects. Whether you're a seasoned technical professional or new to the field, this session will equip you with the skills to deliver compelling demos that lead to successful conversions.
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
Watch full webinar here: https://buff.ly/3wdI1il
As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away.
Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value.
Key topics this panel will address include:
- Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh
- Deciding whether to consolidate data silos or bridge them with distributed data technologies
- Enabling easier self-service access and analytics across a distributed data environment
- Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments
- Monitoring and data observability for spotting problems and ensuring business satisfaction
Watch full webinar here: https://buff.ly/3UE5K5l
The ability to recognize and flag sensitive information within corporate datasets is essential for compliance with emerging privacy laws, for completing a privacy impact assessment (PIA) or data subject access request (DSAR), and also for cyber-insurance compliance. During this session, we will discuss data privacy laws, the challenges they present, and how they can be applied with modern tools.
Join us for the session driven by Mark Rowan, CEO at Data Sentinel, and Bhavita Jaiswal, SE at Denodo, who will show how a data classification engine augments Data Catalog to support data governance and compliance objectives.
Watch on-demand & Learn:
- Changing landscape of data privacy laws and compliance requirements
- How to create a data classification framework
- How Data Sentinel classifies data and this can be integrated into Denodo
- Using the enhanced data classifications via consuming tools such as Data Catalog and Power BI
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
Watch full webinar here: https://buff.ly/3OETC08
По данным аналитической компании Gartner, "к 2022 году 60% предприятий включат виртуализацию данных в качестве основного метода доставки данных в свою интеграционную архитектуру". Компания Gartner назвала Denodo лидером в Магическом квадранте 2020 года по инструментам интеграции данных.
В ходе этого 1,5-часового занятия вы узнаете, как виртуализация данных революционизирует бизнес и ИТ-подход к доступу, доставке, потреблению, управлению и защите данных, независимо от возраста вашей технологии, формата данных или их местонахождения. Эта зрелая технология устраняет разрыв между ИТ и бизнес-пользователями и обеспечивает значительную экономию средств и времени.
**ФОРМАТ
Онлайн-семинар продолжительностью 1 час 30 минут.
Благодаря записи вы можете выполнять упражнения в своем собственном темпе.
**ДЛЯ КОГО ЭТОТ СЕМИНАР?
ИТ-менеджеры / архитекторы
Специалисты по анализу данных / аналитики
CDO
**СОДЕРЖАНИЕ
В программе: введение в суть виртуализации данных, примеры использования, реальные примеры из практики клиентов и демонстрация возможностей платформы Denodo Platform:
Интеграция и предоставление данных быстро и легко с помощью платформы Denodo Platform 8.0
Оптимизатор запросов Denodo предоставляет данные в режиме реального времени, по запросу, даже для очень больших наборов данных
Выставлять данные в качестве "сервисов данных" для потребления различными пользователями и инструментами
Каталог данных: Открывайте и документируйте данные с помощью нашего Каталога данных
пространства для самостоятельного доступа к данным.
Виртуализация данных играет ключевую роль в управлении и обеспечении безопасности данных в вашей организации
**ПОВЕСТКА
Введение в виртуализацию данных
Примеры использования и примеры из практики клиентов
Архитектура - Управление и безопасность
Производительность
Демо
Следующие шаги: как самостоятельно протестировать и внедрить платформу
Интерактивная сессия вопросов и ответов
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
Watch full webinar here: https://buff.ly/41Zf31D
Despite recent and evolving technological advances, the vast amounts of data that exist in a typical enterprise is not always available to all stakeholders when they need it. In modern enterprises, there are broad sets of users, with varying levels of skill sets, who strive to make data-driven decisions daily but struggle to gain access to the data needed in a timely manner.
Join our webinar to learn how to:
- Unlock the Power of Your Data: Discover how data democratization can transform your organization by giving every user access to the data they need, when they need it.
- Say 'Goodbye' to Data Fragmentation: Learn practical strategies to break down data silos and foster a more collaborative and efficient data environment.
- Realize the Full Potential of Your Data: Hear success stories about industry leaders who have embraced data democratization and witnessed tangible results.
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
Watch full webinar here: https://buff.ly/48ZpEf1
In this session, we will cover a deeper dive into the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam by answering any questions that have developed since the previous session.
Additionally, we invite partners to bring any general questions related to Denodo, the Denodo Platform, or data management.
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
Watch full webinar here: https://buff.ly/3SnH5QY
2023 is coming to an end where organisations dependency on trusted, accurate, secure and contextual data only grows more challenging. The perpetual aspect in seeking new architectures, processes, organisational team structures to "get the business their data" and reduce the operating costs continues unabated. While confidence from the business in what "value" is being derived or "to be" delivered from these investments in data, is being heavily scrutinised. 2023 saw significant new releases from vendors, focusing on the Data Fabric.
At this session we will look at these topics and key takeaways for 2023, including;
- Data management and data integration market highlights for 2023
- Key achievements for Denodo in their journey as a leader in this market
- A few case studies from Australian organisations in how they are delivering strategic business value through Denodo's Data Fabric platform and what they have been doing differently
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
Watch full webinar here: https://buff.ly/3S4Y49o
A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof?
For example:
- Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation.
- Data Architectures will need to adapt to feed these powerful new models.
- Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads better.
Join us for a discussion on the most significant trends in the Data & AI space, and how you can prepare to ride this wave!
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
Watch full webinar here: https://buff.ly/3O7rd2R
Afin d’être conformes au RGPD, les entreprises ont besoin d'avoir une vue d'ensemble sur toutes leurs données et d'établir des contrôles de sécurité sur toute l'infrastructure. La virtualisation des données de Denodo permet de rassembler les multiples sources de données, de les rendre accessibles à partir d'une seule couche, et offre des capacités de monitoring pour surveiller les changements.
Pour cela, Square IT Services a développé pour l’un de ses grands clients français prestigieux dans le secteur du luxe une interface utilisateur ergonomique qui lui permet de consulter les informations personnelles de ses clients, vérifier leur éligibilité à pratiquer leur droit à l'oubli, et de désactiver leurs différents canaux de notification. Elle dispose aussi d'une fonctionnalité d'audit qui permet de tracer l'historique des opérations effectuées, et lui permet donc de retrouver notamment la date à laquelle la personne a été anonymisée.
L'ensemble des informations remontées au niveau de l'application sont récupérées à partir des APIs REST exposées par Denodo.
Dans ce webinar, nous allons détailler l’ensemble des fonctionnalités de l’application DPO-Cockpit autour d’une démo, et expliquer à chaque étape le rôle central de Denodo pour réussir à simplifier la gestion du RGPD tout en étant compliant.
Les points clés abordés:
- Contexte client face aux enjeux du RGPD
- Défis et challenges rencontrés
- Options et choix retenu (Denodo)
- Démarche: architecture de la solution proposée
- Démo de l'outil: fonctionnalités principales
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
Watch full webinar here: https://buff.ly/48zzN2h
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
How to Build Your Data Marketplace with Data Virtualization?Denodo
Watch full webinar here: https://buff.ly/4aAi0cS
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this live webinar to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
Enabling Data Catalog users with advanced usabilityDenodo
Watch full webinar here: https://buff.ly/48A4Yu1
Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities.
Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog.
Watch on-demand & Learn:
- Enhanced search capabilities using multiple terms.
- How to create workflows to manage internal requests.
- How to leverage the AI capabilities of Data Catalog to generate SQL queries from natural language.
Watch full webinar here: https://buff.ly/3vjrn0s
The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture.
This exam covers the following technical topics and subject areas:
- Denodo Platform functionality, including
- Governance and metadata management
- Security
- Performance optimization
- Caching
- Defining Denodo Platform use scenarios
Along with some sample questions, a Denodo Sales Engineer will help you prepare for exam topics and ace the exam.
Join us now to start your journey toward becoming a Certified Denodo Architect Associate!
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
Watch full webinar here: https://buff.ly/3NLMSNM
El Generative AI y los Large Language Models (LLMs), encabezados por GPT de OpenAI, han supuesto la mayor revolución en el mundo de la computación de los últimos años. Pero ¿Cómo afectan realmente a la gestión de datos? ¿Reemplazarán los LLMs al profesional de la gestion de datos? ¿Cuánto hay de mito y cuánto de realidad?
En esta sesión revisaremos:
- Que es la Generative AI y por qué es importante para la gestión de datos
- Presente y futuro de aplicación de genAI en el mundo de los datos
- Cómo preparar tu organización para la adopción de genAI
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...Social Samosa
The Modern Marketing Reckoner (MMR) is a comprehensive resource packed with POVs from 60+ industry leaders on how AI is transforming the 4 key pillars of marketing – product, place, price and promotions.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
1. 1
Harnessing Your Hybrid Data
Ecosystem
Unleashing the power of data with data virtualization.
Lakshmi Randall, Twitter:@LakshmiLJ
Director of Product Marketing
July 2017
2. 2
Multi-Platform Architecture
Reality of Modern Enterprise
Diverse Governance and Metadata Needs Diverse Ingestion and Integration Needs
Diverse SkillsetsDiverse Data Architectures
Batch Real-time Continuous
Right-time
CloudData lakes DW
Data Hub Distributed
On-demand
Local
Centralized
Metadata
Local
Metadata
Metadata
Exchange
Local
Governance
Centralized
Governance
3. 3
HDE comprises multivarious data, processes and technologies that enable
enterprises to optimally harness insights
Hybrid Characteristics
Legacy & Modern
Multi-Platform
Distributed Architectures
Batch & Real-time
Structured & Unstructured
Cloud & On Premises
Open Source & Commercial
Diverse Data
Domain-specific Views
Disparate Data Sources
Hybrid Data Ecosystem
4. Most data warehouses are now
multi-platform hybrid architectures.
Source: 2014 TDWI report “Evolving Data Warehouse
Architectures.” Based on 538 respondents.
Other
(2%)
No true EDW, but
many workload-
specific data
platforms instead
Many workload-specific
data platforms w/non-
central EDW
Central EDW
with many
additional data
platforms
Central EDW with a
few additional data
platforms
Central
monolithic EDW
with no other
data platforms
15%15%16%37%15%
EDW
DWE
Multi-platform
hybrid is the new
norm.
Monolith was
norm in ‘90s;
now rare.
5. 5
BENEFITS
• Enables business goals
• Flexibility to support data
diversity
• Cost optimization opportunities
• Supports prototyping of new
business models
• Multiple Systems of Insight
CHALLENGES
• Data Ownership
• Integration and Unification
• Data Quality Risks
• Skillset Scarcity
• Optimization Issues
• Multiple data models
• Lack of Holistic View
• Multiple Local Architectures
Benefits and Challenges of HDEs
6. 6
Harnessing Insights from HDEs
Costs of Complexity:
“Just Because It’s Difficult To Quantify, Doesn’t Mean It’s
Zero!(But That’s How It’s Often Treated!)”
The Hands-on Group
One or more architectures or layers must unify the disparate systems
and data assets of the HDE to understand and mask the HDE’s
complexity
Achieving technical cohesion and business value in a multi-platform environment
7. 7
The Solution – A Data Abstraction Layer
Abstracts access to
disparate data sources
Acts as a single repository
(virtual)
Makes data available to
consumers in real-time
“Enterprise architects must revise their data
architecture to meet the demand for fast data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data
Platform, Forrester Research, Dec 16, 2015
DATA ABSTRACTION LAYER
8. 888
Five Essential Capabilities of Data Virtualization
1. Data abstraction
2. Zero replication, zero relocation
3. Real-time information
4. Self-service data services
5. Centralized metadata, security
& governance
9. 999
1.Data abstraction
Abstracts access to disparate data sources.
Acts as a single virtual repository.
Abstracts data complexities like location, format,
protocols
…hides data complexity for ease of data access by business
Enterprise architects must revise their data architecture to meet
the demand for fast data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data
Platform, Forrester Research
10. 101010
2.Zero replication, zero relocation
…reduces development time and overall TCO
The Denodo Platform enables us to build and deliver data services, to
our internal and external consumers, within a day instead of the 1 – 2
weeks it would take with ETL.”
– Manager, DrillingInfo
Leaves the data at its source; extracts only what is needed,
on demand.
Diminishes the need for effort-intensive ETL processes.
Supports transformations and quality functions without the
latency, redundancy, and rigidity of legacy approaches.
11. 111111
3.Real-time information
Provisions data in real-time to consumers
Creates real-time logical views of data across many data
sources.
Supports transformations and quality functions without the
latency, redundancy, and rigidity of legacy approaches
…enables timely decision-making
Data virtualization integrates disparate data sources in real time or near-real time
to meet demands for analytics and transactional data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester
Research, Dec 16, 2015
12. 121212
4. Self-service data services
Facilitates access to all data, both internal and external
Enables creation of universal semantic models reflecting business
taxonomy
Connects data silos to provide best available information to drive
business decisions
…enables information discovery and self-service
Impressively quick turn around time to "unlock“ data from additional siloes and
from legacy systems - Few vendors (if any) can compete with Denodo's support
of the Restful/Odata standard - both to provide data (northbound) and to
access data from the sources (southbound).”
– Business Analyst, Swiss Re
13. 131313
5. Centralized metadata, security & governance
Abstracts data source security models and enables single-point security and
governance.
Extends single-point control across cloud and on-premises architectures
Provides multiple forms of metadata (technical, business, operational) to
facilitate understanding of data.
…simplifies data security, privacy, audit
Our Denodo rollout was one of the easiest and most successful rollouts of critical enterprise
software I have seen. It was successful in handling our initial, security, use case immediately,
and has since shown a strong ability to cover additional use cases, in particular acting as a Data
Abstraction Layer via it's web service functionality.”
– Enterprise Architect, Asurion
14. 141414
Definition
-Source: “Gartner Market Guide for data virtualization – 2016”
Data virtualization technology can be used to create virtualized and integrated
views of data in memory (rather than executing data movement and physically
storing integrated views in a target data structure), and provides a layer of
abstraction above the physical implementation of data.”
16. 16
The Role of Data Virtualization in HDEs
• Enable an Integrated Data Ecosystem
• Improve Business Agility & Productivity
• Provide Virtualized Views of HDE
• Access data instead of replicating and consolidating as appropriate
• Centralize Metadata and Governance Policies for a HDE
• Optimize and Manage data access to a HDE
• Minimize skillset challenges in a HDE
• Provision business-ecosystem-specific views from HDEs
17. 17
HDE: Three Perspectives
HDE comprises multivarious data, processes and technologies that enable
enterprises to optimally harness insights
Integrated
Supply Chain
Multi-channel
Marketing
Financial RiskQuality Control
Business
Perspective
Local & Centralized
Governance
Hybrid Characteristics
Legacy & Modern
Multi-Platform
Distributed
Architectures
Batch & Real-time
Structured &
Unstructured
Cloud & On Premises
Open Source &
Commercial
Diverse Data
Domain-specific ViewsEnterprise
Perspective
Common
Data Models
Data Reuse
Technical
Perspective Disparate Data Sources
Databases & Warehouses, Cloud/Saas Applications, Big Data, NoSQL, Web, XML, Excel ,PDF, Word...
Shared
Metadata
Data
Ownership
19. -Chuck DeVries VP Architecture and Development Vizient
The Denodo Platform will provide 350% ROI over 5 years and break
even within 1.5 years of our initial project and will continue to deliver
additional savings every year. Further, we plan to leverage the platform
in our data lake project.”
20. 20
Risk Data Ecosystem (RDE) – Business Perspective
Risk Systems Integration using Data Virtualization
Risk areas: financial (credit, liquidity, ...), market and
operations
RDE Delivers aggregation and internal reporting of
risk data that is more timely, accurate,
comprehensive and granular;
Highly automated aggregation of risk data by
business line, region, asset type, industry, legal
entity.
Adaptable and flexible process for ad hoc
requests.
Higher standards for reporting practices: reports
are accurate, reconciled, validated; tailored to the
audience and context
Virtual risk views across bank
21. 21
Data Marketplace - Enterprise Perspective
Enterprise Data Service Registry
Virtual Data Layer
Scheduling
& Delivery
Reuse Data
Services
Virtual Operational
Data Stores
Virtual Data
Marts
Usage StatsMeta Data
RDBMSNoSQLBig Data Web ServicesPackaged
App
Files
Enterprise Data
Marketplace
BI, CPM and
Reporting
Portal &
Dashboards
Applications
BUSINESS
SOLUTIONS
Access Information-
as-a-Service
ENTERPRISE DATA
SERVICE
REGISTRY
Standard metadata
and enterprise data
services
DATA
VIRTUALIZATION
Abstract layer for
data services
DISPARATE DATA
Any source
Any format
23. Company confidential – do not forward or distribute
23
Customer Centricity / MDM
Complete View of Customer
Data Services
Data as a Service
Data Marketplace
Data Services
Application and Data Migration
Cloud Solutions
Cloud Modernization
Cloud Analytics
Hybrid Data Fabric
Data Governance
GRC
GDPR
Data Privacy / Masking
BI and Analytics
Self-Service Analytics
Logical Data Warehouse
Enterprise Data Fabric
Big Data
Logical Data Lake
Data Warehouse
Offloading
IoT Analytics
Denodo ‘Solution’ Categories
24. Company confidential – do not forward or distribute
24
Denodo ‘Solution’ Categories
Customer Centricity / MDM
Complete View of Customer
Data Services
Data as a Service
Data Marketplace
Data Services
Application and Data Migration
Cloud Solutions
Cloud Modernization
Cloud Analytics
Hybrid Data Fabric
Data Governance
GRC
GDPR
Data Privacy / Masking
BI and Analytics
Self-Service Analytics
Logical Data Warehouse
Enterprise Data Fabric
Big Data
Logical Data Lake
Data Warehouse
Offloading
IoT Analytics
Customer Centricity/MDM
Complete View of Customer
Customer Service Unified Desktop
Unified Desktop for Contact Center
Customer Self-Service Portal
Single Customer View for Back Office
Automation
25. Company confidential – do not forward or distribute
25
Customer Centricity / MDM
Complete View of Customer
Data Services
Data as a Service
Data Marketplace
Data Services
Application and Data Migration
Cloud Solutions
Cloud Modernization
Cloud Analytics
Hybrid Data Fabric
Data Governance
GRC
GDPR
Data Privacy / Masking
BI and Analytics
Self-Service Analytics
Logical Data Warehouse
Enterprise Data Fabric
Big Data
Logical Data Lake
Data Warehouse
Offloading
IoT Analytics
Denodo ‘Solution’ Categories
Data Governance
GRC
Data Retention for Regulatory Compliance
Risk Reporting for Basel III Compliance
Single View of Risk
GDPR
Data Privacy and Protection
Data Privacy/Masking
Data Privacy in a Hybrid Environment
De-identifying Patient Data according to
HIPAA Safe Harbor Rules
26. Company confidential – do not forward or distribute
26
Customer Centricity / MDM
Complete View of Customer
Data Services
Data as a Service
Data Marketplace
Data Services
Application and Data Migration
Cloud Solutions
Cloud Modernization
Cloud Analytics
Hybrid Data Fabric
Data Governance
GRC
GDPR
Data Privacy / Masking
BI and Analytics
Self-Service Analytics
Logical Data Warehouse
Enterprise Data Fabric
Big Data
Logical Data Lake
Data Warehouse
Offloading
IoT Analytics
Denodo ‘Solution’ Categories
Data Services
Data as a Service
Data Services for Drug Discovery
Unified Data Services Layer
Enterprise Data Service Layer
Data Marketplace
Data Access Marketplace
Liquidity Management Dashboard
Data Services
Cable Set Top Box Transaction Management
RESTful Web Services API for Development
Teams
Application and Data Migration
Migration Abstraction Layer
Mergers and Acquisitions
27. Company confidential – do not forward or distribute
27
Denodo ‘Solution’ Categories
Customer Centricity / MDM
Complete View of Customer
Data Services
Data as a Service
Data Marketplace
Data Services
Application and Data Migration
Cloud Solutions
Cloud Modernization
Cloud Analytics
Hybrid Data Fabric
Data Governance
GRC
GDPR
Data Privacy / Masking
BI and Analytics
Self-Service Analytics
Logical Data Warehouse
Enterprise Data Fabric
Big Data
Logical Data Lake
Data Warehouse
Offloading
IoT Analytics
BI and Analytics
Self-Service Analytics
Self-Service Discovery
Self-Service Exploration
Self-Service Collaboration
Logical Data Warehouse
Inventory-Sales Reconciliation Reports
Logical Data Warehouse
Agile Reporting using Logical Data
Warehouse
Enterprise Data Fabric
Single View of Supply Chain
Secure Data Services Layer
28. Company confidential – do not forward or distribute
28
Denodo ‘Solution’ Categories
Customer Centricity / MDM
Complete View of Customer
Data Services
Data as a Service
Data Marketplace
Data Services
Application and Data Migration
Cloud Solutions
Cloud Modernization
Cloud Analytics
Hybrid Data Fabric
Data Governance
GRC
GDPR
Data Privacy / Masking
BI and Analytics
Self-Service Analytics
Logical Data Warehouse
Enterprise Data Fabric
Big Data
Logical Data Lake
Data Warehouse
Offloading
IoT Analytics
Big Data
Logical Data Lake
Single View for Customer Analytics
Data Warehouse Offloading
Cost Reduction
IoT Analytics
Contextual Data for Advanced Analytics
29. Company confidential – do not forward or distribute
29
Denodo ‘Solution’ Categories
Customer Centricity / MDM
Complete View of Customer
Data Services
Data as a Service
Data Marketplace
Data Services
Application and Data Migration
Cloud Solutions
Cloud Modernization
Cloud Analytics
Hybrid Data Fabric
Data Governance
GRC
GDPR
Data Privacy / Masking
BI and Analytics
Self-Service Analytics
Logical Data Warehouse
Enterprise Data Fabric
Big Data
Logical Data Lake
Data Warehouse
Offloading
IoT Analytics
Cloud Solutions
Cloud Modernization
Application Modernization
Cloud Migration
Cloud Analytics
Analytics in the Cloud
Web/Cloud/Semi-Structured Data
Integration
Hybrid Data Fabric
Single View of Customer for Distributor
Portal
Automation of Service Interaction for
Retail Partner Customers
30. 30
Going Forward
Web-based Information Self-Service
• Advanced data catalog enables a centralized “data marketplace”
• Keyword base search
• Collaboration (tags, comments, annotations, request for access, etc.)
Next-gen “Fabric” Execution Engine
• Tighter integration with in-memory and data grids to move processing from the
virtual layer to specialized execution engines
Holistic Operations Console
• Common operations web console to orchestrate monitoring, notifications,
diagnosis, auditing, migration, license management, etc.
What’s cooking in the virtualization space
31. 31
Summary
• HDE is inevitable in modern enterprises - Embrace the diversity.
• Ensure your HDE evolution is driven by business goals
• Virtualize Data, don’t Migrate or Consolidate It
• Leverage Data Virtualization to understand, access, unify, govern,
and model your data in a HDE.
34. Who Are We
One of the world's largest independent exploration and production companies.
Committed to Health, Safety and Environment.
Over 4,000 employees worldwide.
Committed to its Core Values of: Integrity and Trust, Servant Leadership, People and
Passion, Commercial Focus, Open Communication.
An integral part of the communities where we live, work and operate.
Recognized among the World's Most Innovative Companies by Forbes in 2012.
34
35. Business Need
Data - Access to Critical Information to Support Business Processes
Better – access to complete information
More – access to related information
Faster – access in real-time
Common Catalog – For enterprise
35
36. Challenge
Data is Siloed Across Disparate Systems
Manually access different systems
Addressed with point-to-point data
integration
Takes too long to get answers to users
Inadequate security on source systems
36
37. Challenge
Friction between Business and IT
IT is too slow. Takes too long to build
solutions.
Wrong Data – Obsolete or Stale
Lack of adequate enterprise data
repositories - DW / Data Mart / Data Lake
37
39. Solution
Data Abstraction Layer
Abstracts access to disparate data sources
Acts as a single repository (virtual)
Makes data available in real-time to consumers
Integration with AD – Security
39
40. Data Virtualization – Our Journey
Projects and Timeline
Pilot Project: Jul’2016 - Sep’2016
Full Implementation in Business Unit: Oct’2016 - Feb’2017
Governance Implementation: Jun’2017 - Oct’2017
40
42. Data Virtualization
Use Case # 1 – Industry Subscription
Data in the Cloud
Problem
Provide consistent and up-to-date access to purchased industry subscription data for data mining
Multiple vendors
Multiple data types (Well Locations, Oil and Gas Production Volumes, M&A Activity)
Multiple access protocols (Azure SQL database, hosted XML files, external JSONREST web
services)
Honor internal and external security requirements and ensure adequate performancecost
Prevent sharing usernames and passwords
Leverage (internal) enterprise security infrastructure
Provide metricsaudit on usage
Limit access as specified in agreements
Avoid time and cost of standing up additional databases
Solution 42
43. Data Virtualization
Use Case # 2 – Logical Data Mart for
Key Business Unit
Problem
Significant organization changes due to market conditions surfaced several point solutions driving
critical business processes
Reduce unnecessary copies from corporate data stores into local stores that stagnant quickly and are
difficult to support (e.g. multiple, duplicated mini data marts in Excel and Access)
Need ability to combine augmented or rapidly changing business unit specific data with corporate
data
Solution
Leveraged newly formed data and analytics team in business unit(s) to provide centralized support
Partnered with corporate teams to develop managed data delivery environment (tools + process)
Built logical data mart (i.e. virtual database) to combine BU-specific and corporate data 43
44. Data Virtualization
Use Case # 3 – Streamline Well Summary and Production Data Retrieval
Problem
Needed to combine multiple data types (well header, production volumes, well spacing, forecast)
from disparate systems
Many manual processes used to update data set resulted in time-consuming process
Reports ran very slowly
Use of Spotfire for integration prevented reports from being run by other reporting tools.
Solution
Integrated data from disparate data sources into a few views
Was able to integrate Excel workbooks into the solution 44
46. Data Virtualization
Our Observations
More access to data
Ability to expose data in multiple ways (ODBC, JDBC, OData)
Combine data in new ways from different sources
Ability to access non-traditional data sources (e.g. SharePoint, web services,
multi-dimensional)
Make the data sources all look like they reside in the same database
Better access to data
Pick data from the best sources to incorporate into a mash-up view
Find source-of-record information in a central, documented location
Access by going directly to the source (instead of a copy) 46
47. Producers
View Designers
Techs and Power Users will be trained by IT
and/or train the trainer approach
Techs and Power Users from each asset or
functional area will build virtual views
Views will merge asset specific virtual views
with global asset views
Techs are hands on daily with individual
assets giving them a deeper understanding
of what each asset needs
IT
Train business users on use and best
practices
Build global virtual views that can be used
Consumers
Data Catalog (TBD)
Web-based tool for viewing metadata
Ability to request access and connection
info
Applications
Protocols
ODBC
JDBC
47
How are views to data created and accessed?
ToadTM Data Point
48. Recommendations - Base Cases for Use
Combine data from multiple sources in real-time
Source systems are highly available
Access different types of data: structured (DBMS), semi-structured (XLS),
unstructured (PDF, Web), web services
Simple data cleansing and less complex transformations
48
49. Key Discoveries
May not duplicate all functionality in every client tool (Spotfire, Excel, Access)
You are only as fast as your slowest data source
Pass-thru security is difficult
You can connect to almost anything (whether or not you should)
Change Management is a challenge with the current version, 6.0
Involve source system owners in early stages
ETL may be the best solution in some cases
Integration with SAP BW - Possible but performance is a challenge
Not intended for aggregations of large data sources in real-time 49
50. What’s next?
Business Unit Roll-out
Rolling out governance
Implementing metrics end of Sep’2017
Data Catalog
Enterprise Roll-out
Planned for Oct’2017
50
52. Infosys-Noah Consulting
Industry
Experience
Information
Managemen
t
Operations
Focused
Domain
Expertise
Average 25+ years of industry experience in
Information Management disciplines
Library of project Accelerators honed to meet
specific industry needs
Extensive experience providing solutions to the
largest and most complex companies in the world
Specific Information Management Strategy and
Implementation Methodologies
Industry Thought Leadership in MDM, Data
Quality, Metadata, Data Virtualization
52
53. Why Consider Data Virtualization?
Improve business agility
Reduce latency
Provide high quality, in context data
End user self-service
Ease of change
Enable enterprise / cross-BU data integration
Access immovable data
Lower TCO
53
Leveraging DV to unlock
information to accelerate and
improve business performance.
54. Data Virtualization use cases
Page
| 54
This is the primary
Use Case, using DV
to create a virtual
data warehouse for
reporting and
analytics.
Using DV to
extend/upgrade
existing EDWs would
be a good way to
expand on the value
case of DV.
DV and ETL can work
together to create Virtual
Data Marts on top of the
existing/extended EDW
platform. This use case is
relevant when there is an
existing trusted EDW
system.
DV can be used to
create golden records
on the fly implementing
a Registry MDM. Note
that MDM match and
merge logic can
sometimes be fairly
complex and may not
always be possible to
implement using DV.
1. Reporting & Analytics 2. Extending EDW
4. Registry MDM 3. Virtual Data Marts
56. Data virtualization doesn’t solve data
quality issuesApply strong data governance to support
your DV approach
Manage data quality at the source
Data dictionary and definitions
Data Stewardship
DV Standards
Library and naming standards
Virtualization layers
56
Image from the Data Management Book of Knowledge
(DMBOK) published by Data Management International
(DAMA)
57. Where is my data?
Know what the authoritative source is for each
attribute
Understand the data lifecycle and how data can change
across SOR
Understand the quality of information within each SOR
Ensure data standards are applied consistently across
each SOR for shared data types
Use of Data Catalog for easy access to information and
metadata about DV Views
58. Stick to your DV principles
Establish guiding principles on when to use DV versus other methods for data exchange
Understand your non-functional requirements (latency, linage, performance)
Performance considerations
59. Adding complexity to equation
Do not use for transformations beyond:
routing data
re-representing objects (i.e., renaming to
standard model)
data augmentation (i.e., derived metrics)
Minimize the urge to apply complex
transformation or calculations
59
Extract
Transform
Load
Data
Data
Data
Analyti
cs
Busines
s
Applicati
on
Reporti
ng
60. General guiding principles
Data Virtualization
Layer
* Source – Data Virtualization book
App Data Stores Files Services
Data WarehousesApplications
BI, Reports Applications Portals, other..
ConsumersProducers
• Use appliances to supercharge performance
• Do not store any material business data
• Perform aggregations in the data layer
• Perform transformations in the ETL layer
• Run data quality tools against the repository to
validate/qualify data
• Pass through I/U/D queries to the transaction source
• Modeling should account for reuse and growth
• Organization to support continuous expansion
61. Any Questions?
Thank you
James Soos
Associate Partner – E&P Practice Lead
Mobile: 936-499-8441
James.Soos@noah-consulting.com
James.Soos@infoys.com
Editor's Notes
Well Header data, production data, drilling data, transactional data, well survey data. Drilling schedule data. Common catalog for data.
Business feels that IT is too slow or takes too long.
Superuser to the rescue. Different version of the same solution. Downturn caused key personnel to leave and we lost support of solutions.