Watch Alberto's presentation from Fast Data Strategy on-demand here: https://goo.gl/CRjYuD
In this session, we will review Denodo Platform 7.0 key capabilities.
Watch this session to learn more about:
• The vision behind the Denodo Platform
• The new data catalog and self-service features of Denodo Platform 7.0
• The new connectivity, data transformation, and enterprise-wide deployment features
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
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
Virtual Sandbox for Data Scientists at Enterprise ScaleDenodo
View the full webinar here: https://goo.gl/rMQEQK
The Virtual Sandbox is an overarching framework to support the enterprise-scale roll out of data science programs using the industry standard, CRISP-DM methodology.
Attend this session to learn how the Virtual Sandbox optimizes analytical model generation, testing, deployment and subsequent refinement by:
• Easing data access for exploration and mash ups via a governed, self-service data access platform.
• Supporting the creation of logical views using data virtualization for reuse across the organization.
• Facilitating quick and repeatable generation of data sets for analytical model testing and refinement.
• Hastening model deployment by operationalizing the model using shared development pipelines.
Agenda:
• Review the challenges faced by enterprise-scale data science programs.
• Overview of the Virtual Sandbox and its benefits.
• Product Demonstration.
• Q&A
Big Data Fabric: A Necessity For Any Successful Big Data InitiativeDenodo
Watch this webinar in full here: https://buff.ly/2IxM8Iy
Watch all webinars from the Denodo Packed Lunch webinar series here: https://buff.ly/2IR3q6w
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.
Attend this session to learn how big data fabric enabled by data virtualization:
• Provides lightning fast self-service data access to business users
• Centralizes data security, governance and data privacy
• Fulfills the promise of data lakes to provide actionable insights
Watch full webinar on demand here: https://goo.gl/yqzxUP
Market research shows that around 70% of the self-service initiatives fare “average” or below. Denodo 7.0 information self-service tool will offer data analysts, business users and app developers searching and browsing capability of data and metadata in a business friendly manner for self-service exploration and analytics.
Attend this session to learn:
- How business users will be able to use Denodo Platform integrated google-like search for both content and catalog
- With web based query UI how business users can refine queries without SQL knowledge
- With tags and business categorization, how to standardize business / canonical views while decoupling development artifacts from the business users
Agenda:
The role of information self-service tool
Product demonstration
Summary & Next Steps
Q&A
Parallel In-Memory Processing and Data Virtualization Redefine Analytics Arch...Denodo
To watch full webinar, follow this link: https://goo.gl/3s9hRG
The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized repository. But this approach is slow and expensive, and sometimes not even feasible, because some data sources are too big to be replicated, and data is often too distributed such as those found in cloud data sources to make a “full centralization” strategy successful.
Attend this webinar to learn:
• Why Logical architectures are the best option when integrating Big Data.
• How Denodo’s parallel in-memory capabilities with dynamic query optimization redefine analytics architectures.
• How IT can meet business demands for data much faster with Data Virtualization.
Agenda:
• Challenges with traditional approaches for analytics architectures.
• Overview of Denodo's parallel in-memory capabilities.
• Product Demo of parallel in-memory capabilities accelerating analytics performance.
• Q&A.
To watch all webinars in Denodo's Packed Lunch Webinar Series, follow this link: https://goo.gl/4xL9wM
Customer Keynote: Data Service and Security at an Enterprise Scale with Logic...Denodo
Watch full webinar here: https://bit.ly/3xepiQa
Denodo customer McCormick created a logical data fabric (LDF) with data virtualization, to create Enterprise Data Service (EDS) for self-service analytics, integration, web and mobile applications. Listen to this presentation to learn how McCormick uses LDF for better business decisions and strategic planning via democratized information assets and in the process minimize information consumption risks via centralized security model.
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
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
Virtual Sandbox for Data Scientists at Enterprise ScaleDenodo
View the full webinar here: https://goo.gl/rMQEQK
The Virtual Sandbox is an overarching framework to support the enterprise-scale roll out of data science programs using the industry standard, CRISP-DM methodology.
Attend this session to learn how the Virtual Sandbox optimizes analytical model generation, testing, deployment and subsequent refinement by:
• Easing data access for exploration and mash ups via a governed, self-service data access platform.
• Supporting the creation of logical views using data virtualization for reuse across the organization.
• Facilitating quick and repeatable generation of data sets for analytical model testing and refinement.
• Hastening model deployment by operationalizing the model using shared development pipelines.
Agenda:
• Review the challenges faced by enterprise-scale data science programs.
• Overview of the Virtual Sandbox and its benefits.
• Product Demonstration.
• Q&A
Big Data Fabric: A Necessity For Any Successful Big Data InitiativeDenodo
Watch this webinar in full here: https://buff.ly/2IxM8Iy
Watch all webinars from the Denodo Packed Lunch webinar series here: https://buff.ly/2IR3q6w
While big data initiatives have become necessary for any business to generate actionable insights, big data fabric has become a necessity for any successful big data initiative. The best of breed big data fabrics should deliver actionable insights to the business users with minimal effort, provide end-to-end security to the entire enterprise data platform and provide real-time data integration, while delivering self-service data platform to business users.
Attend this session to learn how big data fabric enabled by data virtualization:
• Provides lightning fast self-service data access to business users
• Centralizes data security, governance and data privacy
• Fulfills the promise of data lakes to provide actionable insights
Watch full webinar on demand here: https://goo.gl/yqzxUP
Market research shows that around 70% of the self-service initiatives fare “average” or below. Denodo 7.0 information self-service tool will offer data analysts, business users and app developers searching and browsing capability of data and metadata in a business friendly manner for self-service exploration and analytics.
Attend this session to learn:
- How business users will be able to use Denodo Platform integrated google-like search for both content and catalog
- With web based query UI how business users can refine queries without SQL knowledge
- With tags and business categorization, how to standardize business / canonical views while decoupling development artifacts from the business users
Agenda:
The role of information self-service tool
Product demonstration
Summary & Next Steps
Q&A
Parallel In-Memory Processing and Data Virtualization Redefine Analytics Arch...Denodo
To watch full webinar, follow this link: https://goo.gl/3s9hRG
The tide is changing for analytics architectures. Traditional approaches, from the data warehouse to the data lake, implicitly assume that all relevant data can be stored in a single, centralized repository. But this approach is slow and expensive, and sometimes not even feasible, because some data sources are too big to be replicated, and data is often too distributed such as those found in cloud data sources to make a “full centralization” strategy successful.
Attend this webinar to learn:
• Why Logical architectures are the best option when integrating Big Data.
• How Denodo’s parallel in-memory capabilities with dynamic query optimization redefine analytics architectures.
• How IT can meet business demands for data much faster with Data Virtualization.
Agenda:
• Challenges with traditional approaches for analytics architectures.
• Overview of Denodo's parallel in-memory capabilities.
• Product Demo of parallel in-memory capabilities accelerating analytics performance.
• Q&A.
To watch all webinars in Denodo's Packed Lunch Webinar Series, follow this link: https://goo.gl/4xL9wM
Customer Keynote: Data Service and Security at an Enterprise Scale with Logic...Denodo
Watch full webinar here: https://bit.ly/3xepiQa
Denodo customer McCormick created a logical data fabric (LDF) with data virtualization, to create Enterprise Data Service (EDS) for self-service analytics, integration, web and mobile applications. Listen to this presentation to learn how McCormick uses LDF for better business decisions and strategic planning via democratized information assets and in the process minimize information consumption risks via centralized security model.
Logical Data Fabric: Architectural ComponentsDenodo
Watch full webinar here: https://bit.ly/39MWm7L
Is the Logical Data Fabric one monolithic technology or does it comprise of various components? If so, what are they? In this presentation, Denodo CTO Alberto Pan will elucidate what components make up the logical data fabric.
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...Denodo
Watch full webinar here: https://bit.ly/3kr0oq4
So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?
Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.
With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data like through an abstraction layer. Data virtualization can facilitate and expedite accessing and exploring critical data in a cost-effective manner and assist in deriving a greater return on the data lake investment.
You might still not be convinced. Give us an opportunity and join us as we try to bust this myth!
Watch this webinar as we explore the promises of a data lake as well as its downfalls to draw a final conclusion.
Denodo 6.0: Self Service Search, Discovery & Governance using an Universal Se...Denodo
Presentation slides taken from Fast Data Strategy Roadshow San Francisco Bay Area.
For more Denodo 6-0 demos, please follow this link:https://goo.gl/XkxJjX
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
Powering Self Service Business Intelligence with Hadoop and Data VirtualizationDenodo
A Webinar with Hortonworks and Denodo (watch on demand here: https://goo.gl/xuP1Ak)
Vizient needed a unified view of their accounting and financial data marts to enable business users to discover the information they need in a self-service manner and to be able to provide excellent service to their members. Vizient selected Hortonworks Big Data Platform and Denodo Data Virtualization Platform so that they can unify their distributed data sets in a data lake, and at the same time provide an abstraction for end users for easy self-serviceable information access.
During this webinar, you will learn:
1) The role, use, and benefits of Hortonworks Data Platform in the Modern Data Architecture.
2) How Hadoop and data virtualisation simplify data management and self-service data discovery.
3) What data virtualisation is and how it can simplify big data projects. Best practices of using Hadoop with data virtualisation
About Vizient
Vizient, Inc. is the largest nationwide network of community-owned health care systems and their physicians in the US. Vizient™ combines the strengths of VHA, University HealthSystem Consortium (UHC), Novation and MedAssets SCM and Sg2, trusted leaders focused on solving health care's most pressing challenges. Vizient delivers brilliant resources and powerful data driven insights to healthcare organizations.
Supporting Data Services Marketplace using Data VirtualizationDenodo
Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation, you will see how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without effecting business users.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/PZ2uFj.
Data Marketplace and the Role of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3IS9sQS
A data marketplace is like an online shopping interface specializing in data. Ideally, it should work just like an online store, with minimal latency and maximum responsiveness. However, this does not mean that all of the data in the data marketplace needs to be stored in the same central repository.
In this session, Shadab Hussain, Americas Sales Head, Data Analytics at Wipro, a partner company with Denodo and a co-sponsor of DataFest 2021, talks about the role of data virtualization in enabling full-featured data marketplaces. Such data marketplaces provide real-time, curated access to data, even when the data is stored across many different sources throughout the organization.
You will learn:
- The main features of a data marketplace
- Why organizations need data marketplaces
- Why data marketplaces sometimes fail
- How data virtualization enables the most effective data marketplaces
- How one of Europe’s premiere public healthcare system organizations leveraged a data marketplace to improve data consumption and ease of access
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
Watch Alberto's session from Fast Data Strategy on-demand here: https://buff.ly/2wByS41
Gartner’s recently published report “Data Catalogs Are the New Black in Data Management Analytics” emphasizes the importance of data catalogs.
Watch this session to learn more about:
• The vision behind the Denodo Data Catalog
• How to maximize information value with the Denodo Data Catalog
• Why it is essential to combine data delivery with a data catalog
6 Solution Patterns for Accelerating Self-Service BI, Cloud, Big Data, and Ot...Denodo
A presentation by Saptarshi Sengupta, Sr. Product Marketing Manager, at the Fast Data Strategy Roadshow in San Francisco Bay Area.
For more information of Fast Data Strategy Roadshows, follow this link: https://goo.gl/wtwpBN
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
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.)
Big Data Fabric: A Recipe for Big Data InitiativesDenodo
Big data fabric combines essential big data capabilities in a single platform to automate the many facets of data discovery, preparation, curation, orchestration, and integration across a multitude of data sources. Attend this session to learn how Big Data Fabric enabled by data virtualization constitutes a recipe for:
• Enabling new actionable insights with minimal effort
• Securing big data end-to-end
• Addressing big data skillset scarcity
• Providing easy access to data without having to decipher various data formats
Agenda:
• Big Data with Data Virtualization
• Product Demonstration
• Summary & Next Steps
• Q&A
Watch webinar on demand here: https://goo.gl/EpmIBx
This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb
Partner Enablement: Key Differentiators of Denodo Platform 6.0 for the FieldDenodo
If you’re a Denodo Partner, this presentation is for you. Learn how to gain a competitive edge in the marketplace with Denodo Platform 6.0, and leverage off the new features and functionality.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/Qh8MeX.
Performance Acceleration: Summaries, Recommendation, MPP and moreDenodo
Watch full webinar here: https://bit.ly/3nLHayP
Performance is critical for an organization across the board. Developers can optimize execution with Summaries, MPP, Data Movement, and more. Business users rely on the Recommendation engine to guide them to the right data. Let’s discover and learn about various performance acceleration techniques in this session.
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...Denodo
Watch full webinar here: https://bit.ly/2KkJ08B
Financial institutions need to implement new strategies and services that will drive them securely to their digital objectives over their entire infrastructure.
- How to securely move legacy systems and data to new technologies such as the Big Data and Cloud?
- How to break down silos and ensure a global, centralized, secure and agile access to meaningful data?
- How to facilitate data sharing while applying strict and coherent governance and security rules?
- How to avoid downtime and to guarantee the success of IT initiaves while optimizing costs and resources?
- How to produce and to maintain efficient reports and financial aggregations for the holdings and CxO managers?
We are pleased to invite you to this online session to discover how data virtualization can answer these questions and contribute to the digital transformation of financial institutions.
WHAT IS IT ABOUT?
This virtual event will be organized in two parts. First, we will conduct a conference focusing on the impact of digital transformation in the financial sector, in addition to the general concepts of Data Virtualization and how it has supported the new business goals of financial companies in terms of IT modernization, risk management, governance and security. Then, we will conduct will conduct a hands-on session with a guided live demo to help you discover the main features and benefits of Denodo Platform for Data Virtualization.
Analyst Webinar: Enabling a Customer Data Platform Using Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3Adl24C
In today’s digital economy, customers are all-powerful. They have the ability to search for and find products and services, find reviews and ratings, find out about alternative products and services via search and social networks, ask questions of others about products and services, and find comparison sites. All of this can be done from a mobile device while on the move and with so many options available to them. They can switch to a competitor at the touch of a mobile phone screen or the click of a mouse.
In this kind of economy, customer loyalty is cheap and so it is essential to know more about your customers, if you want to keep them. However, in many companies, customer data is fractured across many different systems with no way to share and access integrated customer data and insights across all channels to offer up a consistent, personalized customer experience.
This webinar looks at this problem and shows how data virtualization can be used to create a Customer Data Platform to solve it.
Discussion details:
- Digital transformation and the impact on customers
- The importance of the customer in the boardroom
- Customer interaction - the impact of COVID-19 pandemic
- Current problems facing many companies in the front-office from fractured customer data
- The need for a Customer Data Platform to engage and retain customers while improving their overall experience
- The central role of data virtualization as a foundation for a customer intelligent front-office
The data services marketplace is enabled by a data abstraction layer that supports rapid development of operational applications and single data view portals. In this presentation yo will learn services-based reference architecture, modality, and latency of data access.
- Reference architecture for enterprise data services marketplace
- Modality and latency of data access
- Customer use cases and demo
This presentation is part of the Denodo Educational Seminar , and you can watch the video here goo.gl/vycYmZ.
Designing an Agile Fast Data Architecture for Big Data Ecosystem using Logica...Denodo
Autodesk designed a modern data architecture that heavily uses data virtualization to integrate both legacy data sources and contemporary big data analytics like Spark into a single unified logical data warehouse. In this presentation, you will learn how to build a logical data warehouse using data virtualization and create a single, unified enterprise-wide access and governance point for any data used within the company.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/Ab4PDB.
Education Seminar: Self-service BI, Logical Data Warehouse and Data LakesDenodo
This educational seminar took place on Thursday, December 8th in Westin Galleria Dallas, Texas.
Self-service BI, Logical Data Warehouse and Data Lakes – They are all essential components of Fast Data Strategy. Many companies are rapidly augmenting their traditional data warehouses, data marts, and ETL with their logical counterparts. Reason? Agility and rapid time-to-market.
Speakers including:
• Chuck DeVries, VP, Strategic Technology and Enterprise Architecture, Vizient,
• Ravi Shankar, Chief Marketing Officer, Denodo
• Charles Yorek, Vice President, iOLAP
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
Data Services and the Modern Data Ecosystem (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2YdstdU
Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management.
Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo with Data Virtualization.
We will discuss how a business can easily support and manage a Data Service platform, providing a more flexible approach for information sharing supporting an ever-diverse community of consumers.
Watch this on-demand webinar as we cover:
- Why Data Services are a critical part of a modern data ecosystem
- How IT teams can manage Data Services and the increasing demand by businesses
- How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing businesses to experiment with data and fail fast where necessary
- How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)
Logical Data Fabric: Architectural ComponentsDenodo
Watch full webinar here: https://bit.ly/39MWm7L
Is the Logical Data Fabric one monolithic technology or does it comprise of various components? If so, what are they? In this presentation, Denodo CTO Alberto Pan will elucidate what components make up the logical data fabric.
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (...Denodo
Watch full webinar here: https://bit.ly/3kr0oq4
So you’re building a data lake to solve your big data challenges. A data lake will allow you to keep all of your raw, detailed data in a single, consolidated repository; therefore, your problem is solved. Or is it? Is it really that easy?
Data lakes have their use and purpose, and we’re not here to argue that. However, data lakes on their own are constrained by factors such as duplication of data and therefore higher costs, governance limitations, and the risk of becoming another data silo.
With the addition of data virtualization, a physical data lake, can turn into a virtual or logical data like through an abstraction layer. Data virtualization can facilitate and expedite accessing and exploring critical data in a cost-effective manner and assist in deriving a greater return on the data lake investment.
You might still not be convinced. Give us an opportunity and join us as we try to bust this myth!
Watch this webinar as we explore the promises of a data lake as well as its downfalls to draw a final conclusion.
Denodo 6.0: Self Service Search, Discovery & Governance using an Universal Se...Denodo
Presentation slides taken from Fast Data Strategy Roadshow San Francisco Bay Area.
For more Denodo 6-0 demos, please follow this link:https://goo.gl/XkxJjX
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
Powering Self Service Business Intelligence with Hadoop and Data VirtualizationDenodo
A Webinar with Hortonworks and Denodo (watch on demand here: https://goo.gl/xuP1Ak)
Vizient needed a unified view of their accounting and financial data marts to enable business users to discover the information they need in a self-service manner and to be able to provide excellent service to their members. Vizient selected Hortonworks Big Data Platform and Denodo Data Virtualization Platform so that they can unify their distributed data sets in a data lake, and at the same time provide an abstraction for end users for easy self-serviceable information access.
During this webinar, you will learn:
1) The role, use, and benefits of Hortonworks Data Platform in the Modern Data Architecture.
2) How Hadoop and data virtualisation simplify data management and self-service data discovery.
3) What data virtualisation is and how it can simplify big data projects. Best practices of using Hadoop with data virtualisation
About Vizient
Vizient, Inc. is the largest nationwide network of community-owned health care systems and their physicians in the US. Vizient™ combines the strengths of VHA, University HealthSystem Consortium (UHC), Novation and MedAssets SCM and Sg2, trusted leaders focused on solving health care's most pressing challenges. Vizient delivers brilliant resources and powerful data driven insights to healthcare organizations.
Supporting Data Services Marketplace using Data VirtualizationDenodo
Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation, you will see how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without effecting business users.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/PZ2uFj.
Data Marketplace and the Role of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3IS9sQS
A data marketplace is like an online shopping interface specializing in data. Ideally, it should work just like an online store, with minimal latency and maximum responsiveness. However, this does not mean that all of the data in the data marketplace needs to be stored in the same central repository.
In this session, Shadab Hussain, Americas Sales Head, Data Analytics at Wipro, a partner company with Denodo and a co-sponsor of DataFest 2021, talks about the role of data virtualization in enabling full-featured data marketplaces. Such data marketplaces provide real-time, curated access to data, even when the data is stored across many different sources throughout the organization.
You will learn:
- The main features of a data marketplace
- Why organizations need data marketplaces
- Why data marketplaces sometimes fail
- How data virtualization enables the most effective data marketplaces
- How one of Europe’s premiere public healthcare system organizations leveraged a data marketplace to improve data consumption and ease of access
Data Catalog in Denodo Platform 7.0: Creating a Data Marketplace with Data Vi...Denodo
Watch Alberto's session from Fast Data Strategy on-demand here: https://buff.ly/2wByS41
Gartner’s recently published report “Data Catalogs Are the New Black in Data Management Analytics” emphasizes the importance of data catalogs.
Watch this session to learn more about:
• The vision behind the Denodo Data Catalog
• How to maximize information value with the Denodo Data Catalog
• Why it is essential to combine data delivery with a data catalog
6 Solution Patterns for Accelerating Self-Service BI, Cloud, Big Data, and Ot...Denodo
A presentation by Saptarshi Sengupta, Sr. Product Marketing Manager, at the Fast Data Strategy Roadshow in San Francisco Bay Area.
For more information of Fast Data Strategy Roadshows, follow this link: https://goo.gl/wtwpBN
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
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.)
Big Data Fabric: A Recipe for Big Data InitiativesDenodo
Big data fabric combines essential big data capabilities in a single platform to automate the many facets of data discovery, preparation, curation, orchestration, and integration across a multitude of data sources. Attend this session to learn how Big Data Fabric enabled by data virtualization constitutes a recipe for:
• Enabling new actionable insights with minimal effort
• Securing big data end-to-end
• Addressing big data skillset scarcity
• Providing easy access to data without having to decipher various data formats
Agenda:
• Big Data with Data Virtualization
• Product Demonstration
• Summary & Next Steps
• Q&A
Watch webinar on demand here: https://goo.gl/EpmIBx
This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb
Partner Enablement: Key Differentiators of Denodo Platform 6.0 for the FieldDenodo
If you’re a Denodo Partner, this presentation is for you. Learn how to gain a competitive edge in the marketplace with Denodo Platform 6.0, and leverage off the new features and functionality.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/Qh8MeX.
Performance Acceleration: Summaries, Recommendation, MPP and moreDenodo
Watch full webinar here: https://bit.ly/3nLHayP
Performance is critical for an organization across the board. Developers can optimize execution with Summaries, MPP, Data Movement, and more. Business users rely on the Recommendation engine to guide them to the right data. Let’s discover and learn about various performance acceleration techniques in this session.
How Financial Institutions Are Leveraging Data Virtualization to Overcome the...Denodo
Watch full webinar here: https://bit.ly/2KkJ08B
Financial institutions need to implement new strategies and services that will drive them securely to their digital objectives over their entire infrastructure.
- How to securely move legacy systems and data to new technologies such as the Big Data and Cloud?
- How to break down silos and ensure a global, centralized, secure and agile access to meaningful data?
- How to facilitate data sharing while applying strict and coherent governance and security rules?
- How to avoid downtime and to guarantee the success of IT initiaves while optimizing costs and resources?
- How to produce and to maintain efficient reports and financial aggregations for the holdings and CxO managers?
We are pleased to invite you to this online session to discover how data virtualization can answer these questions and contribute to the digital transformation of financial institutions.
WHAT IS IT ABOUT?
This virtual event will be organized in two parts. First, we will conduct a conference focusing on the impact of digital transformation in the financial sector, in addition to the general concepts of Data Virtualization and how it has supported the new business goals of financial companies in terms of IT modernization, risk management, governance and security. Then, we will conduct will conduct a hands-on session with a guided live demo to help you discover the main features and benefits of Denodo Platform for Data Virtualization.
Analyst Webinar: Enabling a Customer Data Platform Using Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3Adl24C
In today’s digital economy, customers are all-powerful. They have the ability to search for and find products and services, find reviews and ratings, find out about alternative products and services via search and social networks, ask questions of others about products and services, and find comparison sites. All of this can be done from a mobile device while on the move and with so many options available to them. They can switch to a competitor at the touch of a mobile phone screen or the click of a mouse.
In this kind of economy, customer loyalty is cheap and so it is essential to know more about your customers, if you want to keep them. However, in many companies, customer data is fractured across many different systems with no way to share and access integrated customer data and insights across all channels to offer up a consistent, personalized customer experience.
This webinar looks at this problem and shows how data virtualization can be used to create a Customer Data Platform to solve it.
Discussion details:
- Digital transformation and the impact on customers
- The importance of the customer in the boardroom
- Customer interaction - the impact of COVID-19 pandemic
- Current problems facing many companies in the front-office from fractured customer data
- The need for a Customer Data Platform to engage and retain customers while improving their overall experience
- The central role of data virtualization as a foundation for a customer intelligent front-office
The data services marketplace is enabled by a data abstraction layer that supports rapid development of operational applications and single data view portals. In this presentation yo will learn services-based reference architecture, modality, and latency of data access.
- Reference architecture for enterprise data services marketplace
- Modality and latency of data access
- Customer use cases and demo
This presentation is part of the Denodo Educational Seminar , and you can watch the video here goo.gl/vycYmZ.
Designing an Agile Fast Data Architecture for Big Data Ecosystem using Logica...Denodo
Autodesk designed a modern data architecture that heavily uses data virtualization to integrate both legacy data sources and contemporary big data analytics like Spark into a single unified logical data warehouse. In this presentation, you will learn how to build a logical data warehouse using data virtualization and create a single, unified enterprise-wide access and governance point for any data used within the company.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/Ab4PDB.
Education Seminar: Self-service BI, Logical Data Warehouse and Data LakesDenodo
This educational seminar took place on Thursday, December 8th in Westin Galleria Dallas, Texas.
Self-service BI, Logical Data Warehouse and Data Lakes – They are all essential components of Fast Data Strategy. Many companies are rapidly augmenting their traditional data warehouses, data marts, and ETL with their logical counterparts. Reason? Agility and rapid time-to-market.
Speakers including:
• Chuck DeVries, VP, Strategic Technology and Enterprise Architecture, Vizient,
• Ravi Shankar, Chief Marketing Officer, Denodo
• Charles Yorek, Vice President, iOLAP
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
Data Services and the Modern Data Ecosystem (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2YdstdU
Digital Transformation has changed IT the way information services are delivered. The pace of business engagement, the rise of Digital IT (formerly known as “Shadow IT), has also increased demands on IT, especially in the area of Data Management.
Data Services exploits widely adopted interoperability standards, providing a strong framework for information exchange but also has enabled growth of robust systems of engagement that can now exploit information that was normally locked away in some internal silo with Data Virtualization.
We will discuss how a business can easily support and manage a Data Service platform, providing a more flexible approach for information sharing supporting an ever-diverse community of consumers.
Watch this on-demand webinar as we cover:
- Why Data Services are a critical part of a modern data ecosystem
- How IT teams can manage Data Services and the increasing demand by businesses
- How Digital IT can benefit from Data Services and how this can support the need for rapid prototyping allowing businesses to experiment with data and fail fast where necessary
- How a good Data Virtualization platform can encourage a culture of Data amongst business consumers (internally and externally)
Product Keynote: Denodo 8.0 - A Logical Data Fabric for the Intelligent Enter...Denodo
Watch full webinar here: https://bit.ly/2O9gcBT
Denodo 8 expands data integration and management to data fabric with advanced data virtualization capabilities. What are they? Denodo CTO Alberto Pan will touch upon the key Denodo 8 capabilities.
Rethink Your 2021 Data Management Strategy with Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2O2r3NP
In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task.
Catch this on demand session to understand:
- BI program modernization challenges
- What is data virtualization and why is its adoption growing so quickly?
- How data virtualization works and how it compares to alternative approaches to data integration
- How modern data virtualization can significantly increase agility while reducing costs
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.
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
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
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.
Enterprise Data Marketplace: A Centralized Portal for All Your Data AssetsDenodo
Watch full webinar here: https://bit.ly/3OLv0jY
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 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 on-demand session 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
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
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. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar 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
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Data Virtualization for Data Architects (Australia)Denodo
Watch full webinar here: https://bit.ly/35sp2Q0
Success or failure in the digital age will be determined by how effectively organisations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.
With the pace of today’s business, modernisation of a data architecture must be seamless, and ideally, built on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data architecture without business disruption.
You will discover:
- How to modernise your data architectures without disturbing the existing analytical workload
- How to extend your data architecture to more quickly exploit existing, and new sources of data
- How to enable your data architecture to present more low latency data
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
Augmentation, Collaboration, Governance: Defining the Future of Self-Service BIDenodo
Watch full webinar here: https://bit.ly/3zVJRRf
According to Dresner Advisory’s 2020 Self-Service Business Intelligence Market Study, 62% of the responding organizations say self-service BI is critical for their business. If we look deeper into the need for today’s self-service BI, it’s beyond some Executives and Business Users being enabled by IT for self-service dashboarding or report generation. Predictive analytics, self-service data preparation, collaborative data exploration are all different facets of new generation self-service BI. While democratization of data for self-service BI holds many benefits, strict data governance becomes increasingly important alongside.
In this session we will discuss:
- The latest trends and scopes of self-service BI
- The role of logical data fabric in self-service BI
- How Denodo enables self-service BI for a wide range of users - Customer case study on self-service BI
Cloud Modernization and Data as a Service OptionDenodo
Watch: https://bit.ly/2E99UNO
The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc. coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization is a time-consuming task. And all of this without even knowing if that data will be useful at all.
Attend this session to learn:
- How dynamic data challenges and the speed of change requires a new approach to data architecture.
- Learn how logical data architecture can enable organizations to transition data faster to the cloud with zero downtime.
- Explore how data as a service and other API management capabilities is a must in a hybrid cloud environment.
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
DAMA & Denodo Webinar: Modernizing Data Architecture Using Data Virtualization Denodo
Watch here: https://bit.ly/2NGQD7R
In an era increasingly dominated by advancements in cloud computing, AI and advanced analytics it may come as a shock that many organizations still rely on data architectures built before the turn of the century. But that scenario is rapidly changing with the increasing adoption of real-time data virtualization - a paradigm shift in the approach that organizations take towards accessing, integrating, and provisioning data required to meet business goals.
As data analytics and data-driven intelligence takes centre stage in today’s digital economy, logical data integration across the widest variety of data sources, with proper security and governance structure in place has become mission-critical.
Attend this session to learn:
- Learn how you can meet cloud and data science challenges with data virtualization.
- Why data virtualization is increasingly finding enterprise-wide adoption
- Discover how customers are reducing costs and improving ROI with data virtualization
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..?
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
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
5. 5
Denodo: Unified Data Delivery Platform for the Business
4. Access with any tool / protocol –
Data service / API Layer
5. Centralized metadata, security &
governance
6. 90% time to market reductions and
cost savings
1. Single access point to data – Location
Independence
2. Data in business friendly form –
Semantic Layer
3. Data adapted for the needs of each
LOB, type of user and application
More than 60% of Self-Service Initiatives Ranked as
Average or lower
Source: InsideAnalysis.com
6. 6
DATA CONSUMERS
DISPARATE DATA SOURCES
SQL Queries
(JDBC, ODBC, ADO.NET)
Web Services
(SOAP, REST, OData)
Web-based catalog
& search
Secure delivery
(SSL/TLS)
DATA CONSUMERS
MPP Processing
Relational Cache
Corporate Security
Monitoring & Auditing
Metadata
Repository
Execution Engine
& Optimizer
A Modern Data Virtualization Architecture
DATA VIRTUALIZATION
9. 9
DV in the IoT Ecosystem
Other RDBMS
(apps, CRM, SAP)
Other Sources
(SaaS, SFDC, etc.)
Ingestion Streaming
analytics
Big Data
Storage
Batch analytics,
Machine earning
Streaming data
Traditional batch
processing
(ETL to EDW)
Semantic
Model
Secure
+
Combine
+
Enrich
12. 12
New Release of Denodo Platform Redefines Data Management for Mission-critical Enterprise Use Cases.
Reimagine Data Management with Denodo Platform 7.0
Unparalleled Performance
Combined power of Massive Parallel
Processing & Dynamic Query Optimization
for immediate data delivery in big data,
cloud, and real-time scenarios.
Integrated Data Catalog
The Only Data Virtualization offering
that tightly integrates Data Catalog and
Data Delivery for contextual information
delivery and collective intelligence.
Full Lifecycle Management
Streamlined DevOps with new tools
and APIs that greatly simplify
deployments, updates, management
and more.
Security and Connectivity
New Data Sources, Data Publishing and
Security standards
13. 13
Denodo Data Virtualization: Advanced Optimization
Minimizes data movement and maximizes
local processing at the origin systems
Leverages in-memory MPP Processing at
the DV layer
Multiple caching options: partial, full,
incremental, …
Optimize distributed queries across large repositories
The Denodo Platform ... incorporates dynamic query
optimization as a key value point…specifically for high data
volume and complexity;”
Gartnet Magic Quadrant for Data Integration, 2017
14. 14
Query Optimization: Classical Federation
Naive Strategy (BI Tools, BDI Tools, Simple
federation engines):
join
union
group by
Customers (3M)
Sales previous years
(3B)Sales this year (290M)
290M rows
300M rows
(sales previous
year)
3M rows 593M rows through the
network
Obtain Total Sales By Customer Country in the Last Two Years
15. 15
Query Optimization: Dynamic Optimizer
Denodo Strategy
join
union
group by
Customers (3M)
Sales previous years
(3B)Sales this year
(290M)
3M rows (sales by
customer this year)
3M rows (sales
by customer
previous year)
3M rows 9 M rows through the
network
Obtain Total Sales By Customer Country in the Last Two Years
group by
customer
group by
customer
16. 16
Dynamic Optimizer + MPP Processing (Denodo 7)
union
group by
3M rows
(sales by customer
this year)
3M rows
(sales by
customer
previous year)
3M rows
(customers)
Aggregation
pushdowngroup by
customer
group by
customer
join
Integrated
MPP processing
System Execution Time Optimization Technique
No Rewriting >10 min None
Denodo 6 51 sec Aggregation push-down
Denodo 7 13 sec
Aggregation push-down + MPP
integration
17. 17
New Release of Denodo Platform Redefines Data Management for Mission-critical Enterprise Use Cases.
Reimagine Data Management with Denodo Platform 7.0
Unparalleled Performance
Combined power of Massive Parallel
Processing & Dynamic Query Optimization
for immediate data delivery in big data,
cloud, and real-time scenarios.
Integrated Data Catalog
The Only Data Virtualization offering
that tightly integrates Data Catalog and
Data Delivery for contextual information
delivery and collective intelligence.
Full Lifecycle Management
Streamlined DevOps with new tools
and APIs that greatly simplify
deployments, updates, management
and more.
Security and Connectivity
New Data Sources, Data Publishing and
Security standards
18. 18
Why a Data Catalog ?
Catalog of datasets available for consumption by the
business in the Delivery Layer
80% of time dedicated to finding the right data
Discover datasets relevant for a particular need and
understand what data they provide
Expose Datasets available to Business Users and Developers
19. 19
The Role of the Data Catalog
Catalog of views and web services
• Classify existing views and services using business categories, tags,..
• Browse and search capabilities using multiple criteria
• See descriptions, relationships and data lineage
• See information about the dataset usage
25. 25
The Role of the Data Catalog
Catalog of views and web services
• Classify existing views and services using business categories, tags,..
• Browse and search capabilities using multiple criteria
• See descriptions, relationships and data lineage
• See information about the dataset usage
Preview and find data
• Quick look at data
• Search based on content
28. 28
The Role of the Data Catalog
Catalog of views and web services
• Classify existing views and services using business categories, tags,..
• Browse and search capabilities using multiple criteria
• See descriptions, relationships and data lineage
• See information about the dataset usage
Preview and find data
• Quick look at data
• Search based on content
Consume
• Obtain connection details to consume data with your favourite tool
• Customize existing views with visual transformation wizards
• “My queries” for personal use & share with other users
• Propose new standard business / canonical views
31. 31
New Release of Denodo Platform Redefines Data Management for Mission-critical Enterprise Use Cases.
Reimagine Data Management with Denodo Platform 7.0
Unparalleled Performance
Combined power of Massive Parallel
Processing & Dynamic Query Optimization
for immediate data delivery in big data,
cloud, and real-time scenarios.
Integrated Data Catalog
The Only Data Virtualization offering
that tightly integrates Data Catalog and
Data Delivery for contextual information
delivery and collective intelligence.
Full Lifecycle Management
Streamlined DevOps with new tools
and APIs that greatly simplify
deployments, updates, management
and more.
Security and Connectivity
New Data Sources, Data Publishing and
Security standards
32. 32
Denodo’s Solution Manager
Administration and
Development Client
DEVELOPMENT
Load Balancer
Q&A PRODUCTION
CLUSTER
Integrated
Version
Control
MS TFSSubversion git
Solution Manager
Offers centralize management from a web
console of:
▪ Server and client licenses
▪ Updates
▪ Monitoring
▪ Migrations (VDP and SCH)
VCS for
Migration history
DB for Environment
Dependent properties
35. 35
New Release of Denodo Platform Redefines Data Management for Mission-critical Enterprise Use Cases.
Reimagine Data Management with Denodo Platform 7.0
Unparalleled Performance
Combined power of Massive Parallel
Processing & Dynamic Query Optimization
for immediate data delivery in big data,
cloud, and real-time scenarios.
Integrated Data Catalog
The Only Data Virtualization offering
that tightly integrates Data Catalog and
Data Delivery for contextual information
delivery and collective intelligence.
Full Lifecycle Management
Streamlined DevOps with new tools
and APIs that greatly simplify
deployments, updates, management
and more.
Security and Connectivity
New Data Sources, Data Publishing and
Security standards
36. 36
Extended capabilities in existing adapters (e.g. enhanced
pagination support for REST web services,…)
New adapter for Presto DB (Denodo 7)
New Salesforce adapter in the main distribution (Denodo 7)
Connectivity to Data Sources:
Connectivity: Southbound
38. 38
New adapter for Power BI
Support for Open API specification (Swagger) in published web
services
Extended functions for geospatial data and GeoJSON support
Access to Denodo from Consuming Applications:
Connectivity: Northbound
39. 39
Denodo Data Virtualization: Security
Northbound Support for OAuth, JSON WT
New policies for setting Quotas (e.g. max.
queries per user/application per hour/day)
Extensions to security privileges system
Unified Security Policies Across All Data Sources and Consuming Apps
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”
Enterprise Architect, Asurion, 2017
Security
Policy
Conditions satisfied
Data consuming users, Apps
Query
Accept / add filters
Reject
Policy Server
40. 40
Key Takeaways
Denodo bridges the gap between the complex and changing IT data infrastructure and
Business Users and Applications
▪ The best Data Virtualization engine in the market, integrates and exposes data to the
business much faster and at a fraction of the cost of other approaches
▪ Offers unparalled performance in Data Virtualization
▪ Includes integrated Catalog functionalities for data discovery
▪ Automates the full lifecycle management of Denodo applications across multiple
environments and locations (on-premises or cloud)
▪ Continues expanding support for new data sources, data consumption tools and security
standards
42. 42
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EXPRESS
DENODO FOR AWS DENODO FOR AZURE
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Next Steps
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30 day free trial available!