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Data Virtualization

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  • Self-Service Analytics with Guard Rails
    Self-Service Analytics with Guard Rails Saptarshi Sengupta and Ed Robbins Recorded: Jun 21 2018 61 mins
    Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy.

    Attend this session to learn why data virtualization:

    * Is a must for implementing the right self-service BI
    * Makes self-service BI useful for every business user
    * Accelerates any self-service BI initiative
  • An Introduction to Data Virtualization
    An Introduction to Data Virtualization Ravi Shankar, Chief Marketing Officer, Denodo and Danny Thien, Senior Data Architect, Denodo Recorded: May 22 2018 59 mins
    According to Gartner "Through 2020, 50% of enterprises will implement some form of data virtualization as one enterprise production option for data integration". That defines how data virtualization has become an undeniable driving force for companies to implement an agile, real-time and flexible enterprise data architecture.

    Attend this session to learn:

    -Fundamentals of data virtualization and how it differs from traditional data integration approaches
    -The key patterns and use cases of Data Virtualization
    -What to expect in subsequent sessions in the Packed Lunch Webinar Series, which will take a deeper dive into various challenges solved by data virtualization in big data analytics, cloud migration and various other scenarios

    Agenda:
    -Introduction & benefits of DV
    -Summary & Next Steps
    -Q&A
  • Big Data Fabric: A Necessity For Any Successful Big Data Initiative
    Big Data Fabric: A Necessity For Any Successful Big Data Initiative Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo and Naren, Sales Engineer Recorded: May 17 2018 44 mins
    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 Journey to the Cloud
    A Successful Journey to the Cloud Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo Recorded: Apr 19 2018 60 mins
    By 2020, a corporate "no-cloud" policy will be as rare as a "no-internet" policy is today, according to Gartner, Inc. While cloud makes enterprises more flexible and agile, various cloud adoption scenarios such as hybrid cloud, infrastructure modernization and cloud based analytics present a few challenges of their own.

    Attend this session to learn:

    • Challenges involved with various cloud adoption scenarios
    • How data virtualization solves cloud adoption challenges while centralizing data governance and security mechanism
    • How companies are using data virtualization to tackle complex modern customer segmentation problems such as “customer genomics”

    Agenda:

    • Challenges of cloud adoption
    • Data virtualization to the rescue
    • Product demonstration
    • Q&A
  • Building a multi-purpose Data Lake for Increased Business Agility
    Building a multi-purpose Data Lake for Increased Business Agility Alba Fernández-Arias, Sales Engineering at Denodo. Recorded: Mar 27 2018 39 mins
    The data contained in the data lake is too valuable to restrict its use to just data scientists. It would make the investment in a data lake more worthwhile if the target audience can be enlarged without hindering the original users. However, this is not the case today, most data lakes are single-purpose. Also, the physical nature of data lakes have potential disadvantages and limitations weakening the benefits and possibly even killing a data lake project entirely.

    A multi-purpose data lake allows a broader and greater use of the data lake investment without minimizing the potential value for data science or for making it a less flexible environment. Multi-purpose data lakes are data delivery environments architected to support a broad range of users, from traditional self-service BI users to sophisticated data scientists.

    Attend this session to learn:

    * The challenges of a physical data lake
    * How to create an architecture that makes a physical data lake more flexible
    * How to drive the adoption of the data lake by a larger audience
  • Self-Service Information Consumption Using Data Catalog
    Self-Service Information Consumption Using Data Catalog Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo and Phoebe Bakanas, Sales Engineer, Denodo Recorded: Mar 15 2018 54 mins
    Market research shows that around 70% of the self-service initiatives fare “average” or below. Denodo 7.0 information self-service tool will offer data analysts, business users and app developers searching and browsing capability of data and metadata in a business friendly manner for self-service exploration and analytics.

    Attend this session to learn:

    • How business users will be able to use Denodo Platform integrated google-like search for both content and catalog
    • With web based query UI how business users can refine queries without SQL knowledge
    • With tags and business categorization, how to standardize business / canonical views while decoupling development artifacts from the business users

    Agenda:

    • The role of information self-service tool
    • Product demonstration
    • Summary & Next Steps
    • Q&A
  • Data Virtualization - Enabling Next Generation Analytics (EMEA)
    Data Virtualization - Enabling Next Generation Analytics (EMEA) Boris Evelson, Vice President & Principal Analyst, Forrester Research | Lakshmi Randall, Director, Product Marketing, Denodo Recorded: Feb 27 2018 61 mins
    Although most of today’s enterprises are data-aware, this may not be sufficient to drive tangible business outcomes.

    - Are your data-driven applications providing contextual and actionable insight?
    - Are you deriving insights from all the enterprise data?

    Embrace Forrester’s latest analytical framework for insights-driven businesses: Systems of Insight (SOI).

    Join this session to discover the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. The session will explore the roles that data virtualization (aka Data Fabric) plays in modern SOI architectures, such as:

    - A single virtual catalog / view on all enterprise data sources including data lakes.
    - A more agile and flexible virtual enterprise data warehouse.
    - A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric).
  • In Memory Parallel Processing for Big Data Scenarios
    In Memory Parallel Processing for Big Data Scenarios Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo Recorded: Feb 15 2018 48 mins
    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
  • GDPR Noncompliance: Avoid the Risk with Data Virtualization
    GDPR Noncompliance: Avoid the Risk with Data Virtualization Mark Pritchard, Sales Engineer, Denodo. Lakshmi Randall, Director of Product Marketing, Denodo Recorded: Jan 31 2018 58 mins
    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 and 50% of them will have done it intentionally.

    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 facilitates GDPR compliance enabling privacy by design.

    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.
  • Data Virtualization - Enabling Next Generation Analytics
    Data Virtualization - Enabling Next Generation Analytics Boris Evelson, Vice President and Principal Analyst, Forrester Research and Lakshmi Randall, Director, Product Marketing Recorded: Jan 25 2018 64 mins
    Majority of enterprises today are data-aware. Being data-aware, or even data-driven, however, is not enough. Are your data-driven applications providing contextual and actionable insight? Are your analytics applications driving tangible business outcomes? Are you deriving insights from all the enterprise data? Enter Systems Of Insight (SOI), Forrester's latest analytical framework for insights-driven businesses. In this webinar you will learn about the key principles that differentiate data-aware or data-driven businesses from their insights-driven peers and competitors. Specifically the webinar will explore roles data virtualization (aka Data Fabric) plays in modern SOI architectures such as

    * A single virtual catalog / view on all enterprise data sources including data lakes
    * A more agile and flexible virtual enterprise data warehouse
    * A common semantic layer for business intelligence (BI) and analytical applications (aka BI Fabric)

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