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.
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
Watch full webinar here: https://bit.ly/3aWI8lt
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 organisations, 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
Introduction to Modern Data Virtualization (US)Denodo
Watch full webinar here: https://bit.ly/3uyvxN5
“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
- How to easily get started with Denodo Standard 8.0
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3aXysas
Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Data Science platforms have become more approachable and user friendly. With all the advancements in the technology space, the Data Scientist is still spending most of the time massaging and manipulating the data into a usable data asset. How can we empower the data scientist? How can we make data more accessible, and foster a data sharing culture?
Join us, and we will show you how Data Virtualization can do just that, with an agile and AI/ML laced data management platform. It can empower your organization, foster a data sharing culture, and simplify the life of the data scientist.
Watch this webinar to learn:
- How data virtualization simplifies the life of the data scientist, by overcoming data access and manipulation hurdles.
- How integrated Denodo Data Science notebook provides for a unified environment
- How Denodo uses AI/ML internally to drive the value of the data and expose insights
- How customers have used Data Virtualization in their Data Science initiatives.
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)Denodo
Watch full webinar here: https://bit.ly/3bBArAc
Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.
In this session, you will learn:
- What is logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.” This solidifies Data Virtualization as a critical piece of technology for any flexible and agile modern data architecture.
This session will:
• Introduce data virtualization and explain how it differs from traditional data integration approaches
• Discuss key patterns and use cases of Data Virtualization
• Set the scene for subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization.
Agenda:
• Introduction & benefits of DV
• Summary & Next Steps
• Q&A
Watch full webinar here: https://goo.gl/EFQNFs
This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb
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
Best Practices: Data Virtualization Perspectives and Best PracticesDenodo
These are the slides from a presentation given by Rajeev Rangachari, Senior Technology Architect, Infosys at Fast Data Strategy Roadshow in San Francisco. Infosys were the official co sponsors of this event.
For more information about our partners Infosys, follow this link: https://goo.gl/wVy5j4
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3sumuL5
Join KashTech and Denodo to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.
Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"
Register to attend and learn how Data Virtualization can:
- Accelerate the delivery of data to users
- Drive digital transformation initiatives
- Reduce project costs and timelines
- Quickly deliver value to your organization
Empowering your Enterprise with a Self-Service Data Marketplace (EMEA)Denodo
Watch full webinar here: https://bit.ly/3aWI8lt
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 organisations, 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
Introduction to Modern Data Virtualization (US)Denodo
Watch full webinar here: https://bit.ly/3uyvxN5
“Through 2022, 60% of all organizations will implement data virtualization as one key delivery style in their data integration architecture," according to Gartner. What is data virtualization and why is its adoption growing so quickly? Modern data virtualization accelerates that time to insights and data services without copying or moving data.
Watch this webinar to learn:
- Why organizations across the world are adopting data virtualization
- What is modern data virtualization
- How data virtualization works and how it compares to alternative approaches to data integration and management
- How modern data virtualization can significantly increase agility while reducing costs
- How to easily get started with Denodo Standard 8.0
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3aXysas
Advanced data science techniques, like machine learning, have proven to be extremely useful to derive valuable insights from your data. Data Science platforms have become more approachable and user friendly. With all the advancements in the technology space, the Data Scientist is still spending most of the time massaging and manipulating the data into a usable data asset. How can we empower the data scientist? How can we make data more accessible, and foster a data sharing culture?
Join us, and we will show you how Data Virtualization can do just that, with an agile and AI/ML laced data management platform. It can empower your organization, foster a data sharing culture, and simplify the life of the data scientist.
Watch this webinar to learn:
- How data virtualization simplifies the life of the data scientist, by overcoming data access and manipulation hurdles.
- How integrated Denodo Data Science notebook provides for a unified environment
- How Denodo uses AI/ML internally to drive the value of the data and expose insights
- How customers have used Data Virtualization in their Data Science initiatives.
Logical Data Warehouse: The Foundation of Modern Data and Analytics (APAC)Denodo
Watch full webinar here: https://bit.ly/3bBArAc
Companies are investing in data warehouse modernization and data lake projects for descriptive and advanced analytics; however, for the analysis to be holistic, today’s architects weave disparate data streams together, not only from these analytical sources, but also from operational, third party, and streaming data sources. Logical data warehouse is a modern architectural methodology that virtually combines all the data across the enterprise and makes it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions throughout the enterprise.
In this session, you will learn:
- What is logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
According to Gartner, “By 2018, organizations with data virtualization capabilities will spend 40% less on building and managing data integration processes for connecting distributed data assets.” This solidifies Data Virtualization as a critical piece of technology for any flexible and agile modern data architecture.
This session will:
• Introduce data virtualization and explain how it differs from traditional data integration approaches
• Discuss key patterns and use cases of Data Virtualization
• Set the scene for subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization.
Agenda:
• Introduction & benefits of DV
• Summary & Next Steps
• Q&A
Watch full webinar here: https://goo.gl/EFQNFs
This webinar is part of the Data Virtualization Packed Lunch Webinar Series: https://goo.gl/W1BeCb
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
Best Practices: Data Virtualization Perspectives and Best PracticesDenodo
These are the slides from a presentation given by Rajeev Rangachari, Senior Technology Architect, Infosys at Fast Data Strategy Roadshow in San Francisco. Infosys were the official co sponsors of this event.
For more information about our partners Infosys, follow this link: https://goo.gl/wVy5j4
KASHTECH AND DENODO: ROI and Economic Value of Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/3sumuL5
Join KashTech and Denodo to discover how Data Virtualization can help accelerate your time-to-value from data while reducing the costs at the same time.
Gartner has predicted that organizations using Data Virtualization will spend 40% less on data integration than those using traditional technologies. Denodo customers have experienced time-to-deliver improvements of up to 90% within their data provisioning processes and cost savings of 50% or more. As Rod Tidwell (Cuba Gooding Jr.) said in the movie 'Jerry Maguire', "Show me the money!"
Register to attend and learn how Data Virtualization can:
- Accelerate the delivery of data to users
- Drive digital transformation initiatives
- Reduce project costs and timelines
- Quickly deliver value to your organization
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.
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
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
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.
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?Denodo
Watch full webinar here: https://bit.ly/3hfEO6d
Die SAP Analytics Cloud (kurz "SAC" genannt) ist ein Service in der Cloud, der umfangreiche Analysefunktionen für Benutzer in einem Produkt bereit stellt. Wie immer bei der SAP ist auch die SAC technologisch gut integriert in die Welt der SAP Systeme.
Doch die Daten, die Unternehmen heutzutage analysieren möchten, befinden sich sehr häufig in den unterschiedlichsten Datenquellen: In relationalen Datenbanken, in Data Lakes, in Webservices, in Dateien, in NoSQL Datenbanken,... Und so stellt sich zwangsläufig die Frage, wie Sie aus der SAC heraus alle Daten konnektieren, transformieren und kombinieren können. Und das möglichst live, d.h. mit Abfragen auf Echtzeit-Daten! Hier kommt die Datenvirtualisierung ins Spiel: Sie bietet Anwendungen (so auch der SAC) einen einheitlichen, integrierten und performanten Zugriff auf SAP Daten und non-SAP Daten.
Erfahren Sie in diesem Webcast:
- Wie die Datenvirtualisierung funktioniert (in a Nutshell)
- Wie Sie aus der SAC heraus auf alle ihre Daten in Echtzeit zugreifen können ("Live Data Connection" genannt)
- Wie die Datenvirtualisierung die Performance auch für Abfragen auf grossen Datenmengen optimiert
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
Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The most important use cases and key patterns of data virtualization
• The benefits of data virtualization
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
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
Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...Denodo
Watch full webinar here: https://bit.ly/3rnxYzr
In this presentation, TDWI analyst will describe data virtualization as an appropriate data management strategy when advanced analytics applications demand very fresh data or when advanced analytics data is distributed across multiple data platforms in a hybrid data architecture.
Enabling Self-Service Analytics with Logical Data WarehouseDenodo
Watch full webinar here: https://buff.ly/2GNO8PC
What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
Attend this webinar to learn:
* How easily new data sources can be made available for analytics and data science
* How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
* How LDWs help integrate self-service analytics with classic forms of business intelligence
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
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
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
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
GDPR Noncompliance: Avoid the Risk with Data VirtualizationDenodo
You can watch the full webinar on-demand here: https://goo.gl/2f2RYF
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.
Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate GDPR compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate GDPR compliance.
Attend this session to learn:
• How data virtualization provides a GDPR compliance foundation with data catalog, auditing, and data security.
• How you can enable single enterprise-wide data access layer with guardrails.
• Why data virtualization is a must-have capability for compliance use cases.
• How Denodo’s customers have facilitated compliance.
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
GDPR Compliance Made Easy with Data VirtualizationDenodo
Companies should be gearing up for May 25, 2018 when the General Data Protection Regulation (GDPR) comes into effect. GPDR will affect how businesses that serve the European Union collect, use and transfer data, forcing them to provide specific reasons and need for the personal data they gather and prove their compliance with the principles established by the regulation.
The regulation is already creating many challenges for companies, including:
• Ensuring secure access to most current data, whether on or off-premise
• Consistent security across all data sources
• Data access audit
• Ability to provide data lineage
This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the GDPR. It will also include a case study of how Asurion already achieved the desired level of security with data virtualization.
Watch the webinar in full to learn more about the benefits of using data virtualization to smoothly comply with the GDPR: http://ow.ly/1kzk30bRw3i
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
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/2XXAzU3
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.
Building a Logical Data Fabric using Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3FF1ubd
In the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we have discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.
In this session, you will learn how your organization can apply a logical data fabric and the associated technologies of machine learning, artificial intelligence, and data virtualization can reduce time to value. Hence, increasing the overall business value of your data assets.
KEY TAKEAWAYS:
- How a Logical Data Fabric is the right approach to assist organizations to unify their data.
- The advanced features of a Logical Data Fabric that assist with the democratization of data, providing an agile and governed approach to business analytics and data science.
- How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self-service.
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.
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
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
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.
SAP Analytics Cloud: Haben Sie schon alle Datenquellen im Live-Zugriff?Denodo
Watch full webinar here: https://bit.ly/3hfEO6d
Die SAP Analytics Cloud (kurz "SAC" genannt) ist ein Service in der Cloud, der umfangreiche Analysefunktionen für Benutzer in einem Produkt bereit stellt. Wie immer bei der SAP ist auch die SAC technologisch gut integriert in die Welt der SAP Systeme.
Doch die Daten, die Unternehmen heutzutage analysieren möchten, befinden sich sehr häufig in den unterschiedlichsten Datenquellen: In relationalen Datenbanken, in Data Lakes, in Webservices, in Dateien, in NoSQL Datenbanken,... Und so stellt sich zwangsläufig die Frage, wie Sie aus der SAC heraus alle Daten konnektieren, transformieren und kombinieren können. Und das möglichst live, d.h. mit Abfragen auf Echtzeit-Daten! Hier kommt die Datenvirtualisierung ins Spiel: Sie bietet Anwendungen (so auch der SAC) einen einheitlichen, integrierten und performanten Zugriff auf SAP Daten und non-SAP Daten.
Erfahren Sie in diesem Webcast:
- Wie die Datenvirtualisierung funktioniert (in a Nutshell)
- Wie Sie aus der SAC heraus auf alle ihre Daten in Echtzeit zugreifen können ("Live Data Connection" genannt)
- Wie die Datenvirtualisierung die Performance auch für Abfragen auf grossen Datenmengen optimiert
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
Watch Paul's session from Fast Data Strategy on-demand here: https://goo.gl/3veKqw
"Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration" according to Gartner. It is clear that data virtualization has become a driving force for companies to implement an agile, real-time and flexible enterprise data architecture.
Attend this session to learn:
• What data virtualization actually means and how it differs from traditional data integration approaches
• The most important use cases and key patterns of data virtualization
• The benefits of data virtualization
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
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
Analyst Keynote: TDWI: Data Virtualization as a Data Management Strategy for ...Denodo
Watch full webinar here: https://bit.ly/3rnxYzr
In this presentation, TDWI analyst will describe data virtualization as an appropriate data management strategy when advanced analytics applications demand very fresh data or when advanced analytics data is distributed across multiple data platforms in a hybrid data architecture.
Enabling Self-Service Analytics with Logical Data WarehouseDenodo
Watch full webinar here: https://buff.ly/2GNO8PC
What makes data scientists happy? Of course data. They want it fast and flexible, and they want to do it themselves. But most classic data warehouses (DW) and data lakes are not easy to deal with for agile data access. A more practical solution is the logical data warehouse (LDW), which has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
Attend this webinar to learn:
* How easily new data sources can be made available for analytics and data science
* How your organization can successfully migrate to a flexible LDW architecture in a step-by-step fashion
* How LDWs help integrate self-service analytics with classic forms of business intelligence
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
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
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
A Successful Data Strategy for Insurers in Volatile Times (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3rpr4La
Data is an insurer’s most valuable asset. Capitalizing on all of that stored and incoming data to draw valuable insights for business decisions is what ultimately makes a competitive difference.
But, insurers face challenges when it comes to modernizing and digitizing their data architectures. Most organizations rely on traditional systems and data integration processes that are time consuming and slow. In addition, as many adopt cloud strategies, these traditional approaches fill the cloud modernization process with downtime and end user frustration.
This is why insurers need a flexible and easily adaptable data integration technology that allows them to keep up with the ever-changing and growing data environment.
Data virtualization is that modern data integration technology. It can support insurers not only on their journey to digitization, but also on their future infrastructure changes and innovations, adding agility, flexibility and efficiency to data architectures. Data virtualization can help insurance companies create 360° views of deals and claims processes as well as gather quick social media or sensor data for on-the-go risk profiling.
Join this on-demand webinar to:
- Find out why data virtualization should be a part of your enterprise data strategy
- See how this technology can help you capitalize on your data
- Hear how many of your peers are already leveraging the Denodo Platform for Data Virtualization and the benefits they’re observing
GDPR Noncompliance: Avoid the Risk with Data VirtualizationDenodo
You can watch the full webinar on-demand here: https://goo.gl/2f2RYF
In its recent report “Predictions 2018: A year of reckoning”, Forrester predicts that 80% of firms affected by GDPR will not comply with the regulation by May 2018. Of those noncompliant firms, 50% will intentionally not comply.
Compliance doesn’t have to be this difficult! What if you have an opportunity to facilitate GDPR compliance with a mature technology and significant cost reduction? Data virtualization is a mature, cost-effective technology that enables privacy by design to facilitate GDPR compliance.
Attend this session to learn:
• How data virtualization provides a GDPR compliance foundation with data catalog, auditing, and data security.
• How you can enable single enterprise-wide data access layer with guardrails.
• Why data virtualization is a must-have capability for compliance use cases.
• How Denodo’s customers have facilitated compliance.
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
GDPR Compliance Made Easy with Data VirtualizationDenodo
Companies should be gearing up for May 25, 2018 when the General Data Protection Regulation (GDPR) comes into effect. GPDR will affect how businesses that serve the European Union collect, use and transfer data, forcing them to provide specific reasons and need for the personal data they gather and prove their compliance with the principles established by the regulation.
The regulation is already creating many challenges for companies, including:
• Ensuring secure access to most current data, whether on or off-premise
• Consistent security across all data sources
• Data access audit
• Ability to provide data lineage
This webinar aims to demonstrate how data virtualization has surfaced as a straight-forward solution to many of the challenges and questions brought on by the GDPR. It will also include a case study of how Asurion already achieved the desired level of security with data virtualization.
Watch the webinar in full to learn more about the benefits of using data virtualization to smoothly comply with the GDPR: http://ow.ly/1kzk30bRw3i
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
Myth Busters III: I’m Building a Data Lake, So I Don’t Need Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/2XXAzU3
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.
Building a Logical Data Fabric using Data Virtualization (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3FF1ubd
In the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we have discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.
In this session, you will learn how your organization can apply a logical data fabric and the associated technologies of machine learning, artificial intelligence, and data virtualization can reduce time to value. Hence, increasing the overall business value of your data assets.
KEY TAKEAWAYS:
- How a Logical Data Fabric is the right approach to assist organizations to unify their data.
- The advanced features of a Logical Data Fabric that assist with the democratization of data, providing an agile and governed approach to business analytics and data science.
- How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self-service.
Unlock Your Data for ML & AI using Data VirtualizationDenodo
How Denodo Complement’s Logical Data Lake in Cloud
● Denodo does not substitute data warehouses, data lakes,
ETLs...
● Denodo enables the use of all together plus other data
sources
○ In a logical data warehouse
○ In a logical data lake
○ They are very similar, the only difference is in the main
objective
● There are also use cases where Denodo can be used as data
source in a ETL flow
Data Lakes: A Logical Approach for Faster Unified Insights (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3JBpwGm
Data lakes and data warehouses offer organizations a centralized data delivery platform. From the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.
In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans, we also discovered the importance of “time to insight and speed”.
During this webinar, we will discuss how a logical data fabric not only helps organizations have a holistic view of their data across multiple data lakes, data warehouses, and data sources but how it improves time to value.
Catch this on-demand session & learn:
- How a Logical Data Fabric is the right approach to assist organizations to unify their data.
- The advanced features of a Logical Data Fabric that assist with optimizing your queries irrespective of data source, whether the data is in a data lake, data warehouse, or other sources.
- How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self-service.
Data Lakes: A Logical Approach for Faster Unified InsightsDenodo
Watch full webinar here: https://bit.ly/3Cpn2bj
Data lakes and data warehouses offer organizations centralized data delivery platforms. The recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important. In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans, we also discovered the importance of “time to insight and speed”.
During this webinar we will discuss how a logical data fabric not only helps organizations have a holistic view of their data across multiple data lakes, data warehouses and data sources, but how it improves time to value.
Attend & Learn:
- How a Logical Data Fabric is the right approach to assist organizations to unify their data.
- The advanced features of a Logical Data Fabric that assist with optimizing your queries irrespective of data source, whether the data is in a data lake, data warehouse or other source.
- How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self service.
ADV Slides: Building and Growing Organizational Analytics with Data LakesDATAVERSITY
Data lakes are providing immense value to organizations embracing data science.
In this webinar, William will discuss the value of having broad, detailed, and seemingly obscure data available in cloud storage for purposes of expanding Data Science in the organization.
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Denodo
Watch full webinar here: https://bit.ly/3dmOHyQ
Historically, data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately, the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In this webinar, we will discuss why decentralized multi-purpose data lakes are the future of data analysis for a broad range of business users.
Watch on-demand this webinar to learn:
- The restrictions of physical single-purpose data lakes
- How to build a logical multi-purpose data lake for business users
- The newer use cases that make multi-purpose data lakes a necessity
Modern Data Management for Federal ModernizationDenodo
Watch full webinar here: https://bit.ly/2QaVfE7
Faster, more agile data management is at the heart of government modernization. However, Traditional data delivery systems are limited in realizing a modernized and future-proof data architecture.
This webinar will address how data virtualization can modernize existing systems and enable new data strategies. Join this session to learn how government agencies can use data virtualization to:
- Enable governed, inter-agency data sharing
- Simplify data acquisition, search and tagging
- Streamline data delivery for transition to cloud, data science initiatives, and more
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. I’ll include use cases so you can see what approach will work best for your big data needs.
Data Ninja Webinar Series: Realizing the Promise of Data LakesDenodo
Watch the full webinar: Data Ninja Webinar Series by Denodo: https://goo.gl/QDVCjV
The expanding volume and variety of data originating from sources that are both internal and external to the enterprise are challenging businesses in harnessing their big data for actionable insights. In their attempts to overcome big data challenges, organizations are exploring data lakes as consolidated repositories of massive volumes of raw, detailed data of various types and formats. But creating a physical data lake presents its own hurdles.
Attend this session to learn how to effectively manage data lakes for improved agility in data access and enhanced governance.
This is session 5 of the Data Ninja Webinar Series organized by Denodo. If you want to learn more about some of the solutions enabled by data virtualization, click here to watch the entire series: https://goo.gl/8XFd1O
ADV Slides: When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
Whether to take data ingestion cycles off the ETL tool and the data warehouse or to facilitate competitive Data Science and building algorithms in the organization, the data lake – a place for unmodeled and vast data – will be provisioned widely in 2020.
Though it doesn’t have to be complicated, the data lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the data swamp, but not the data lake! The tool ecosystem is building up around the data lake and soon many will have a robust lake and data warehouse. We will discuss policy to keep them straight, send data to its best platform, and keep users’ confidence up in their data platforms.
Data lakes will be built in cloud object storage. We’ll discuss the options there as well.
Get this data point for your data lake journey.
From Single Purpose to Multi Purpose Data Lakes - Broadening End UsersDenodo
Watch full webinar here: https://buff.ly/2Mt555e
Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In his recent whitepaper, renowned analyst Rick F. Van Der Lans talks about why decentralized multi purpose data lakes are the future of data analysis for a broad range of business users.
Please attend this session to learn:
• The restrictions of physical single purpose data lakes
• How to build a logical multi purpose data lake for business users
• The newer use cases that makes multi purpose data lakes a necessity
Bridging the Last Mile: Getting Data to the People Who Need ItDenodo
Watch full webinar here: https://bit.ly/3cUA0Qi
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
Logical Data Lakes: From Single Purpose to Multipurpose Data Lakes (APAC)Denodo
Watch full webinar here: https://bit.ly/3aePFcF
Historically data lakes have been created as a centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. In this webinar, we will discuss why decentralized multipurpose data lakes are the future of data analysis for a broad range of business users.
Attend this session to learn:
- The restrictions of physical single purpose data lakes
- How to build a logical multi purpose data lake for business users
- The newer use cases that makes multi purpose data lakes a necessity
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 Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
So many buzzwords of late: Data Lakehouse, Data Mesh, and Data Fabric. What do all these terms mean and how do they compare to a modern data warehouse? In this session I’ll cover all of them in detail and compare the pros and cons of each. They all may sound great in theory, but I'll dig into the concerns you need to be aware of before taking the plunge. I’ll also include use cases so you can see what approach will work best for your big data needs. And I'll discuss Microsoft version of the data mesh.
A Key to Real-time Insights in a Post-COVID World (ASEAN)Denodo
Watch full webinar here: https://bit.ly/2EpHGyd
Presented at Data Champions, Online Asia 2020
Businesses and individuals around the world are experiencing the impact of a global pandemic. With many workers and potential shoppers still sequestered, COVID-19 is proving to have a momentous impact on the global economy. Regardless of the current situation and post-pandemic era, real-time data becomes even more critical to healthcare practitioners, business owners, government officials, and the public at large where holistic and timely information are important to make quick decisions. It enables doctors to make quick decisions about where to focus the care, business owners to alter production schedules to meet the demand, government agencies to contain the epidemic, and the public to be informed about prevention.
In this on-demand session, you will learn about the capabilities of data virtualization as a modern data integration technique and how can organisations:
- Rapidly unify information from disparate data sources to make accurate decisions and analyse data in real-time
- Build a single engine for security that provides audit and control by geographies
- Accelerate delivery of insights from your advanced analytics project
Simplifying Your Cloud Architecture with a Logical Data Fabric (APAC)Denodo
Watch full webinar here: https://bit.ly/3dudL6u
It's not if you move to the cloud, but when. Most organisations are well underway with migrating applications and data to the cloud. In fact, most organisations - whether they realise it or not - have a multi-cloud strategy. Single, hybrid, or multi-cloud…the potential benefits are huge - flexibility, agility, cost savings, scaling on-demand, etc. However, the challenges can be just as large and daunting. A poorly managed migration to the cloud can leave users frustrated at their inability to get to the data that they need and IT scrambling to cobble together a solution.
In this session, we will look at the challenges facing data management teams as they migrate to cloud and multi-cloud architectures. We will show how the Denodo Platform can:
- Reduce the risk and minimise the disruption of migrating to the cloud.
- Make it easier and quicker for users to find the data that they need - wherever it is located.
- Provide a uniform security layer that spans hybrid and multi-cloud environments.
Similar to Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (ASEAN) (20)
Enterprise Monitoring and Auditing in DenodoDenodo
Watch full webinar here: https://buff.ly/3P3l4oK
Proper monitoring of an enterprise system is critical to understanding its capacity and growth, anticipating potential issues, and even understanding key ROI metrics. This also facilitates the implementation of policies and user access audits which are key to optimizing the resource utilization in an organization. Do you want to learn more about the new Denodo features for monitoring, auditing, and visualizing enterprise monitoring data?
Join us for the session with Vijayalakshmi Mani, Data Engineer at Denodo, to understand how the new features and components help in monitoring your Denodo Servers and the resource utilizations and how to extract the most out of the logs that the Denodo Platform generates including FinOps information.
Watch on-demand and Learn:
- What is a Denodo Monitor and what’s new in it?
- How to visualize the Denodo Monitor Information and use of Diagnostics & Monitoring Tool
- Introduction to the new Denodo Dashboard
- Demonstration on the Denodo Dashboard
Lunch and Learn ANZ: Mastering Cloud Data Cost Control: A FinOps ApproachDenodo
Watch full webinar here: https://buff.ly/4bYOOgb
With the rise of cloud-first initiatives and pay-per-use systems, forecasting IT costs has become a challenge. It's easy to start small, but it's equally easy to get skyrocketing bills with little warning. FinOps is a discipline that tries to tackle these issues, by providing the framework to understand and optimize cloud costs in a more controlled manner. The Denodo Platform, being a middleware layer in charge of global data delivery, sits in a privileged position not only to help us understand where costs are coming from, but also to take action, manage, and reduce them.
Attend this session to learn:
- The importance of FinOps in a cloud architecture.
- How the Denodo Platform can help you collect and visualize key FinOps metrics to understand where your costs are coming from?
- What actions and controls the Denodo Platform offers to keep costs at bay.
Achieving Self-Service Analytics with a Governed Data Services LayerDenodo
Watch full webinar here: https://buff.ly/3wBhxYb
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Watch on-demand and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
What you need to know about Generative AI and Data Management?Denodo
Watch full webinar here: https://buff.ly/3UXy0A2
It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management.
Join us on this webinar to learn about:
- The opportunities and challenges presented by GenAI today.
- Exploiting GenAI to democratize data management.
- How to augment GenAI applications with corporate data and knowledge.
- How to get started.
Mastering Data Compliance in a Dynamic Business LandscapeDenodo
Watch full webinar here: https://buff.ly/48rpLQ3
Join us for an enlightening webinar, "Mastering Data Compliance in a Dynamic Business Landscape," presented by Denodo Technologies and W5 Consulting. This session is tailored for business leaders and decision-makers who are navigating the complexities of data compliance in an ever-evolving business environment.
This webinar will focus on why data compliance is crucial for your business. Discover how to turn compliance into a competitive advantage, enhancing operational efficiency and market trust. We'll also address the risks of non-compliance, including financial penalties and the loss of customer trust, and provide strategies to proactively overcome these challenges.
Key Takeaways:
- How can your business leverage data management practices to stay agile and compliant in a rapidly changing regulatory landscape?
- Keys to balancing data accessibility with security and privacy in today's data-driven environment.
- What are the common pitfalls in achieving compliance with regulations like GDPR, CCPA, and HIPAA, and how can your business avoid them?
We will go beyond the technical aspects and delve into how you can strategically position your organization in the realm of data management and compliance. Learn how to craft a data compliance strategy that aligns with your business goals, enhances operational efficiency, and builds stakeholder trust.
Denodo Partner Connect: Business Value Demo with Denodo Demo LiteDenodo
Watch full webinar here: https://buff.ly/3OCQvGk
In this session, Denodo Sales Engineer, Yik Chuan Tan, will guide you through the art of delivering a compelling demo of the Denodo Platform with Denodo Demo Lite. Watch to uncover the significant functionalities that set Denodo apart and learn how to effectively win over potential customers.
In this session, we will cover:
Understanding the Denodo Platform & Tailoring Your Demo to Prospect Needs: By gaining a comprehensive understanding of the Denodo Platform, its architecture, and how it addresses data management challenges, you can customize your demo to align with the specific needs and pain points of your prospects, including:
- seamless data integration with real-time access
- data security and governance
- self-service data discovery
- advanced analytics and reporting
- performance optimization scalability and deployment
Watch this Denodo demo session and acquire the skills and knowledge necessary to captivate your prospects. Whether you're a seasoned technical professional or new to the field, this session will equip you with the skills to deliver compelling demos that lead to successful conversions.
Expert Panel: Overcoming Challenges with Distributed Data to Maximize Busines...Denodo
Watch full webinar here: https://buff.ly/3wdI1il
As organizations compete in new markets and new channels, business data requirements include new data platforms and applications. Migration to the cloud typically adds more distributed data when operations set up their own data platforms. This spreads important data across on-premises and cloud-based data platforms. As a result, data silos proliferate and become difficult to access, integrate, manage, and govern. Many organizations are using cloud data platforms to consolidate data, but distributed environments are unlikely to go away.
Organizations need holistic data strategies for unifying distributed data environments to improve data access and data governance, optimize costs and performance, and take advantage of modern technologies as they arrive. This TDWI Expert Panel will focus on overcoming challenges with distributed data to maximize business value.
Key topics this panel will address include:
- Developing the right strategy for your use cases and workloads in distributed data environments, such as data fabrics, data virtualization, and data mesh
- Deciding whether to consolidate data silos or bridge them with distributed data technologies
- Enabling easier self-service access and analytics across a distributed data environment
- Maximizing the value of data catalogs and other data intelligence technologies for distributed data environments
- Monitoring and data observability for spotting problems and ensuring business satisfaction
Watch full webinar here: https://buff.ly/3UE5K5l
The ability to recognize and flag sensitive information within corporate datasets is essential for compliance with emerging privacy laws, for completing a privacy impact assessment (PIA) or data subject access request (DSAR), and also for cyber-insurance compliance. During this session, we will discuss data privacy laws, the challenges they present, and how they can be applied with modern tools.
Join us for the session driven by Mark Rowan, CEO at Data Sentinel, and Bhavita Jaiswal, SE at Denodo, who will show how a data classification engine augments Data Catalog to support data governance and compliance objectives.
Watch on-demand & Learn:
- Changing landscape of data privacy laws and compliance requirements
- How to create a data classification framework
- How Data Sentinel classifies data and this can be integrated into Denodo
- Using the enhanced data classifications via consuming tools such as Data Catalog and Power BI
Знакомство с виртуализацией данных для профессионалов в области данныхDenodo
Watch full webinar here: https://buff.ly/3OETC08
По данным аналитической компании Gartner, "к 2022 году 60% предприятий включат виртуализацию данных в качестве основного метода доставки данных в свою интеграционную архитектуру". Компания Gartner назвала Denodo лидером в Магическом квадранте 2020 года по инструментам интеграции данных.
В ходе этого 1,5-часового занятия вы узнаете, как виртуализация данных революционизирует бизнес и ИТ-подход к доступу, доставке, потреблению, управлению и защите данных, независимо от возраста вашей технологии, формата данных или их местонахождения. Эта зрелая технология устраняет разрыв между ИТ и бизнес-пользователями и обеспечивает значительную экономию средств и времени.
**ФОРМАТ
Онлайн-семинар продолжительностью 1 час 30 минут.
Благодаря записи вы можете выполнять упражнения в своем собственном темпе.
**ДЛЯ КОГО ЭТОТ СЕМИНАР?
ИТ-менеджеры / архитекторы
Специалисты по анализу данных / аналитики
CDO
**СОДЕРЖАНИЕ
В программе: введение в суть виртуализации данных, примеры использования, реальные примеры из практики клиентов и демонстрация возможностей платформы Denodo Platform:
Интеграция и предоставление данных быстро и легко с помощью платформы Denodo Platform 8.0
Оптимизатор запросов Denodo предоставляет данные в режиме реального времени, по запросу, даже для очень больших наборов данных
Выставлять данные в качестве "сервисов данных" для потребления различными пользователями и инструментами
Каталог данных: Открывайте и документируйте данные с помощью нашего Каталога данных
пространства для самостоятельного доступа к данным.
Виртуализация данных играет ключевую роль в управлении и обеспечении безопасности данных в вашей организации
**ПОВЕСТКА
Введение в виртуализацию данных
Примеры использования и примеры из практики клиентов
Архитектура - Управление и безопасность
Производительность
Демо
Следующие шаги: как самостоятельно протестировать и внедрить платформу
Интерактивная сессия вопросов и ответов
Data Democratization: A Secret Sauce to Say Goodbye to Data FragmentationDenodo
Watch full webinar here: https://buff.ly/41Zf31D
Despite recent and evolving technological advances, the vast amounts of data that exist in a typical enterprise is not always available to all stakeholders when they need it. In modern enterprises, there are broad sets of users, with varying levels of skill sets, who strive to make data-driven decisions daily but struggle to gain access to the data needed in a timely manner.
Join our webinar to learn how to:
- Unlock the Power of Your Data: Discover how data democratization can transform your organization by giving every user access to the data they need, when they need it.
- Say 'Goodbye' to Data Fragmentation: Learn practical strategies to break down data silos and foster a more collaborative and efficient data environment.
- Realize the Full Potential of Your Data: Hear success stories about industry leaders who have embraced data democratization and witnessed tangible results.
Denodo Partner Connect - Technical Webinar - Ask Me AnythingDenodo
Watch full webinar here: https://buff.ly/48ZpEf1
In this session, we will cover a deeper dive into the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam by answering any questions that have developed since the previous session.
Additionally, we invite partners to bring any general questions related to Denodo, the Denodo Platform, or data management.
Lunch and Learn ANZ: Key Takeaways for 2023!Denodo
Watch full webinar here: https://buff.ly/3SnH5QY
2023 is coming to an end where organisations dependency on trusted, accurate, secure and contextual data only grows more challenging. The perpetual aspect in seeking new architectures, processes, organisational team structures to "get the business their data" and reduce the operating costs continues unabated. While confidence from the business in what "value" is being derived or "to be" delivered from these investments in data, is being heavily scrutinised. 2023 saw significant new releases from vendors, focusing on the Data Fabric.
At this session we will look at these topics and key takeaways for 2023, including;
- Data management and data integration market highlights for 2023
- Key achievements for Denodo in their journey as a leader in this market
- A few case studies from Australian organisations in how they are delivering strategic business value through Denodo's Data Fabric platform and what they have been doing differently
It’s a Wrap! 2023 – A Groundbreaking Year for AI and The Way ForwardDenodo
Watch full webinar here: https://buff.ly/3S4Y49o
A little over a year ago, we would not have expected the disruptions caused by the rise of Generative AI. If 2023 was a groundbreaking year for AI, what will 2024 bring? More importantly, what can you do now to take advantage of these trends and ensure you are future-proof?
For example:
- Generative AI will become more powerful and user-friendly, enabling novel and realistic content creation and automation.
- Data Architectures will need to adapt to feed these powerful new models.
- Data ecosystems are moving to the cloud, but there is a growing need to maintain control of costs and optimize workloads better.
Join us for a discussion on the most significant trends in the Data & AI space, and how you can prepare to ride this wave!
Quels sont les facteurs-clés de succès pour appliquer au mieux le RGPD à votr...Denodo
Watch full webinar here: https://buff.ly/3O7rd2R
Afin d’être conformes au RGPD, les entreprises ont besoin d'avoir une vue d'ensemble sur toutes leurs données et d'établir des contrôles de sécurité sur toute l'infrastructure. La virtualisation des données de Denodo permet de rassembler les multiples sources de données, de les rendre accessibles à partir d'une seule couche, et offre des capacités de monitoring pour surveiller les changements.
Pour cela, Square IT Services a développé pour l’un de ses grands clients français prestigieux dans le secteur du luxe une interface utilisateur ergonomique qui lui permet de consulter les informations personnelles de ses clients, vérifier leur éligibilité à pratiquer leur droit à l'oubli, et de désactiver leurs différents canaux de notification. Elle dispose aussi d'une fonctionnalité d'audit qui permet de tracer l'historique des opérations effectuées, et lui permet donc de retrouver notamment la date à laquelle la personne a été anonymisée.
L'ensemble des informations remontées au niveau de l'application sont récupérées à partir des APIs REST exposées par Denodo.
Dans ce webinar, nous allons détailler l’ensemble des fonctionnalités de l’application DPO-Cockpit autour d’une démo, et expliquer à chaque étape le rôle central de Denodo pour réussir à simplifier la gestion du RGPD tout en étant compliant.
Les points clés abordés:
- Contexte client face aux enjeux du RGPD
- Défis et challenges rencontrés
- Options et choix retenu (Denodo)
- Démarche: architecture de la solution proposée
- Démo de l'outil: fonctionnalités principales
Lunch and Learn ANZ: Achieving Self-Service Analytics with a Governed Data Se...Denodo
Watch full webinar here: https://buff.ly/48zzN2h
In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.
Tune in and learn:
- How to use a logical data fabric to build an enterprise-wide data access role model.
- Centralise security when data is spread across multiple systems residing both on-premises and in the cloud.
- Control and audit data access across different regions.
How to Build Your Data Marketplace with Data Virtualization?Denodo
Watch full webinar here: https://buff.ly/4aAi0cS
Organizations continue to collect mounds of data and it is spread over different locations and in different formats. The challenge is navigating the vastness and complexity of the modern data ecosystem to find the right data to suit your specific business purpose. Data is an important corporate asset and it needs to be leveraged but also protected.
By adopting an alternate approach to data management and adapting a logical data architecture, data can be democratized while providing centralized control within a distributed data landscape. The web-based Data Catalog tool acts as a single access point for secure enterprise-wide data access and governance. This corporate data marketplace provides visibility into your data ecosystem and allows data to be shared without compromising data security policies.
Catch this live webinar to understand how this approach can transform how you leverage data across the business:
- Empower the knowledge worker with data and increase productivity
- Promote data accuracy and trust to encourage re-use of important data assets
- Apply consistent security and governance policies across the enterprise data landscape
Webinar #2 - Transforming Challenges into Opportunities for Credit UnionsDenodo
Watch full webinar here: https://buff.ly/3vhzqL5
Join our exclusive webinar series designed to empower credit unions with transformative insights into the untapped potential of data. Explore how data can be a strategic asset, enabling credit unions to overcome challenges and foster substantial growth.
This webinar will delve into how data can serve as a catalyst for addressing key challenges faced by credit unions, propelling them towards a future of enhanced efficiency and growth.
Enabling Data Catalog users with advanced usabilityDenodo
Watch full webinar here: https://buff.ly/48A4Yu1
Data catalogs are increasingly important in any modern data-driven organization. They are essential to manage and make the most of the huge amount of data that any organization uses. As this information is continuously growing in size and complexity, data catalogs are key to providing Data Discovery, Data Governance, and Data Lineage capabilities.
Join us for the session driven by David Fernandez, Senior Technical Account Manager at Denodo, to review the latest features aimed at improving the usability of the Denodo Data Catalog.
Watch on-demand & Learn:
- Enhanced search capabilities using multiple terms.
- How to create workflows to manage internal requests.
- How to leverage the AI capabilities of Data Catalog to generate SQL queries from natural language.
Watch full webinar here: https://buff.ly/3vjrn0s
The purpose of the Denodo Platform 8.0 Certified Architect Associate (DEN80EDUCAA) exam is to provide organizations that use Denodo Platform 8.0 with a means of identifying suitably qualified data architects who understand the role and position of the Denodo Platform within their broader information architecture.
This exam covers the following technical topics and subject areas:
- Denodo Platform functionality, including
- Governance and metadata management
- Security
- Performance optimization
- Caching
- Defining Denodo Platform use scenarios
Along with some sample questions, a Denodo Sales Engineer will help you prepare for exam topics and ace the exam.
Join us now to start your journey toward becoming a Certified Denodo Architect Associate!
GenAI y el futuro de la gestión de datos: mitos y realidadesDenodo
Watch full webinar here: https://buff.ly/3NLMSNM
El Generative AI y los Large Language Models (LLMs), encabezados por GPT de OpenAI, han supuesto la mayor revolución en el mundo de la computación de los últimos años. Pero ¿Cómo afectan realmente a la gestión de datos? ¿Reemplazarán los LLMs al profesional de la gestion de datos? ¿Cuánto hay de mito y cuánto de realidad?
En esta sesión revisaremos:
- Que es la Generative AI y por qué es importante para la gestión de datos
- Presente y futuro de aplicación de genAI en el mundo de los datos
- Cómo preparar tu organización para la adopción de genAI
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
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.
Myth Busters: I’m Building a Data Lake, So I Don’t Need Data Virtualization (ASEAN)
1. W E B I N A R S E R I E S
I’m Building a Data
Lake, So I Don’t Need
Data Virtualization
Paul Moxon
SVP Data Architectures & Chief Evangelist
Denodo
23 February 2021
7. 8
A Bit of History – Etymology of “Data Lake”
https://jamesdixon.wordpress.com/2010/10/14/pentaho-hadoop-and-data-lakes/ (with my emphasis)
Pentaho’s CTO James Dixon is credited with coining the
term "data lake". He described it in his blog in 2010:
"If you think of a data mart as a store of bottled
water – cleansed and packaged and structured
for easy consumption – the data lake is a large
body of water in a more natural state. The
contents of the data lake stream in from a source
to fill the lake, and various users of the lake can
come to examine, dive in, or take samples."
9. 10
Data Lakes Become Data Science Playgrounds…
The early data scientists saw Hadoop
as their personal supercomputer.
Hadoop-based Data Lakes helped
democratize access to state of the
art supercomputing with off-the-
shelf HW (and later cloud)
The industry push for BI made
Hadoop–based solutions the
standard to bring modern analytics
to any corporation
11. 12
Changing the Data Lake Goals
“The popular view is that
a data lake will be the one
destination for all the
data in their enterprise
and the optimal platform
for all their analytics.”
Nick Heudecker, Gartner
12. 13
…Data lakes lack semantic consistency and
governed metadata. Meeting the needs of
wider audiences require curated repositories
with governance, semantic consistency and
access controls.”
14. 15
Consumers
BI/Visualization
“Bring Your Own
Tool” reporting and
visualization
capabilities
integrated into the
Data Lake
Analytics
Workbench
Self-service analytics
workbench
Data Sources
Any internal or
external data
source that
should be copied
into the Data
Lake
Data Lakes Reference Architecture
Data Sources
Any internal or
external data
source that
should be copied
into the Data
Lake
Search and Browse
Search and browse data sets, explore relationships, sample queries and export results
Data Governance and Catalog
Governance and Cataloging of business and technical data assets (Stewardship, Curation, Profiling, Quality)
Data and Operations Management
Provides a broad set of services across the ecosystem to enable security, auditing, scheduling, version
management, policies, etc.
Data Ingestion
Physical or virtual
services to ingest
and integrate data
rapidly across a
variety of sources
and data types
through a common
‘ingest’ layer
Data Landing
Centralized location to land new
data entering ecosystem
separated via logical partitions,
based on source, data type,
characteristics, and governance
requirements
Raw Zone
Original data received from
the originating system plus
tagging and typing to aid in
understanding
Selection & Provisioning
Services to select and integrate
data objects, including
provisioning and prep of data
ingested in Raw Zone and/or
accessed via Trusted and
Consumption Zones
Trusted Zone
Data is enhanced with
business rules and identifiers
added to enable integration
Standardization
Services to consolidate, enrich,
profile and steward datasets
and metadata for on-going
consumption
Refined Zone
Data is conformed to specific
uses as ‘fit for purpose’ data
sets supporting common
models and standards
Exploratory Zone
Provides a flexible and intuitive way for consumers (data stewards, data engineers, and data scientists)
to research and manage data
Data
Delivery
Services
Services to
connect
deliver data,
metadata, and
insights to
consumers for
specific use
cases
Data Sources Technology Capabilities Delivery Capabilities
Consumers
Data Marketplace
User-friendly, SSO
enabled & multi
tenant front-end
surfacing the data
lifecycle services
supported by the
Data Lake
BI/Visualization
“Bring Your Own
Tool” reporting and
visualization
capabilities
integrated into the
Data Lake
Analytics
Workbench
Self-service analytics
workbench
System/App/
Device
Non-user consumers
of data assets
15. 16
Real World Data Lake Example – Using AWS
Trusted Zone
Raw Data Zone Refined Zone
Transformation Transformation Data Consumers
Networking, Infrastructure & Security
Data Ingestion
Data
Sources
Data Catalog and Search – Asset Registry Workflow Orchestration, DevOps and CI/CD
17. 18
Data Virtualization as the Data Lake ‘Delivery Layer’
1. As the Data Delivery
Services layer
2. In the Refined Zone layer
3. As the self-service Data
Catalog
4. As part of the Exploratory
Zone
18. 19
Data Virtualization as the ‘Data Delivery Services’ Layer
Data
Virtualization
• Delivery Services must support
multiple data delivery styles and
protocols
• Real-time and batch
• Request/response and reactive
(event-driven)
• Ad-hoc queries and APIs
• Data Lake needs a delivery layer
and Data Virtualization fits this
requirement
• Enables access to Data Lake and
non-Data Lake sources through
single, unified access layer
• Data Virtualization provides data
catalog for searching, finding,
and understanding data available
in Data Lake
• Provides security and governance
capabilities for Data Lake
22. 23
Customer Example - FESTO
• Founded 1925
• Annual revenues (FY
2018) €3.2 B
• Over 21,000
employees
• Headquarters in
Germany
• World´s leading
supplier of
automation
technology and
technical education.
BUSINESS NEED
• Optimize operational efficiency, automate manufacturing processes, and deliver
on-demand services to business consumers
• Find smarter ways to aggregate and analyze data
• An agile solution that enables the monetization of customer-facing data products
• Free business users from IT reliance to become self-sufficient with reporting and
analysis
THE CHALLENGE:
Find an agile way to integrate data from existing silos, including an analytical data
lake, machine data in an IoT data lake, and traditional databases and data warehouse,
that will reduce dependencies from business users on IT and provides quick
turnaround and flexibility.
25. 26
Customer - FESTO
SOLUTION:
• Festo developed a Big Data
Analytics Framework to
provide a data marketplace to
better support the business
• Using the Denodo Platform to
integrate data from numerous
on-prem and cloud systems in
real-time, including Cloud-
based IoT Data Lake for
machine data
• A unified layer for consistent
data access and governance
across different data silos
28. 29
Questions to Ask About Your Data Lake…
1. Is all of your data going to be in the Data Lake?
2. Can you copy all of the data into the Data Lake?
3. Do you truly only have one Data Lake? Or will there be Data Lakes in different BUs
or geographies?
4. How do you apply security and governance on the data?
5. How do you deliver ‘fit for purpose’ data sets for all users?
6. Or is the data only for highly technical users (e.g. data scientists)?
29. 1. Large data lake projects are complex environments
that will benefit from a virtual ‘consumption’ layer
2. In most cases, not all the data is going to be in the
data lake, so data lake data will need integrating
with non-lake data.
3. Data virtualization provides a data delivery layer
that simplifies and accelerates data lake access.
4. It provides a governance, management, and
security capability required for successful data lake
implementation
Key Takeaways