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Data Virtualization

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  • Big Insights from Your Big Data using Data Virtualization
    Big Insights from Your Big Data using Data Virtualization
    Pablo Alvarez, Director of Product Management, Denodo Recorded: May 16 2019 47 mins
    Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems (the data lake among them) and exposes them as one. The complexity of the back-end systems is hidden from the end user. Security, governance and auditing are again centralized.

    As data volumes grow exponentially, optimization techniques have also evolved to perform in these scenarios. Techniques like complex query rewriting, on-the-fly data movement between sources, and MPP capabilities provide the processing muscle to perform efficiently.

    Attend this session to learn:

    * How a logical data lake can overcome some of the issues of data lakes
    * How MPP acceleration and other optimization techniques designed for large data volumes work
    * How Denodo customers have implemented logical data lakes to improve the value of their Hadoop investments
  • Enabling Self-Service Analytics with Logical Data Warehouse (APAC)
    Enabling Self-Service Analytics with Logical Data Warehouse (APAC)
    Paul Moxon, VP of Data Architectures and Chief Evangelist & Michael Dickson, Senior Sales Engineer, Denodo Recorded: Apr 30 2019 59 mins
    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
  • Minimizing the Complexities of Machine Learning with Data Virtualization
    Minimizing the Complexities of Machine Learning with Data Virtualization
    Pablo Alvarez, Director of Product Management Recorded: Apr 18 2019 48 mins
    Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.

    Attend this webinar and learn:

    * How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
    * How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
    * How you can use the Denodo Platform with large data volumes in an efficient way
    * About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
  • Advanced Analytics and ML: Removing Friction from the Data Pipeline (EMEA)
    Advanced Analytics and ML: Removing Friction from the Data Pipeline (EMEA)
    Paul Moxon, VP Data Architectures & Chief Evangelist, Denodo Recorded: Mar 28 2019 58 mins
    Advanced data science techniques, such as machine learning, have proven to be extremely useful tools to derive valuable insights from existing data. However, they put the pressure on the data scientists to look for the right data and massage it into usable formats – a process that ends up consuming most of their time.

    In this webinar, we want to discuss the use of data virtualization to obtain the information needed in a more efficient and agile manner, show you the value added by this technology via a predictive analytics demonstration, and finally present a customer success story of this use case.

    Join the webinar to find out:

    •How does data virtualization help data scientists accelerate data acquisition and preparation?

    •How does the Denodo Platform for data virtualization integrate with popular tools from the data science ecosystem, like Spark, Python, Zeppelin, Jupyter, etc.?

    •How can you use the Denodo Platform to deal with large volumes of data more efficiently?

    •How is McCormick, a food flavoring giant, using data virtualization to season its machine learning and blockchain landscape?
  • Accelerate migration to the cloud using Data Virtualization
    Accelerate migration to the cloud using Data Virtualization
    Mitesh Shah, Sr. Cloud Product Manager Recorded: Mar 21 2019 59 mins
    Organizations are adopting cloud at a fast pace and migration of critical enterprise information resources could be a challenge when dealing with complex and big data landscape. Building the right data services architecture can help alleviate the pain points, whereby Data Virtualization comes to the rescue by enabling the companies to gain maximum benefits from cloud initiatives in form of agility, cost savings and more.

    In this webinar, you'll learn
    * How Denodo Platform's multi-location architecture can simplify and accelerate cloud migration.
    * Best practices of deploying Denodo Platform in the cloud.
    * Leverage Denodo's virtual data services layer to address and augment cloud solutions such as Data Warehouse modernization, Data Science, and Data Lakes in the cloud.
    * Watch a demo showcasing data virtualization and analytics in the cloud.
  • Advanced Analytics and Machine Learning with Data Virtualization (APAC)
    Advanced Analytics and Machine Learning with Data Virtualization (APAC)
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo Recorded: Mar 20 2019 59 mins
    Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.

    Attend this webinar and learn:
    * How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
    * How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
    * How you can use the Denodo Platform with large data volumes in an efficient way
    * About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
  • A Successful Journey to the Cloud (APAC)
    A Successful Journey to the Cloud (APAC)
    Paul Moxon, VP Data Architecture and Chief Evangelist, Denodo Recorded: Feb 27 2019 57 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
  • Enabling Self-Service Analytics with Logical Data Warehouse
    Enabling Self-Service Analytics with Logical Data Warehouse
    Paul Moxon, VP of Data Architectures and Chief Evangelist & Michael Dickson, Senior Sales Engineer, Denodo Recorded: Feb 21 2019 61 mins
    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
  • Stay Ahead of the Pack with Data Virtualization in the Cloud (APAC)
    Stay Ahead of the Pack with Data Virtualization in the Cloud (APAC)
    Mitesh Shah, Senior Cloud Product Manager, Denodo Recorded: Jan 30 2019 58 mins
    Digital transformation is no longer a jargon and businesses are enabling better, faster decisions by rightly connecting and combining their data across on-premises and Cloud, including real time data. Explore the endless possibilities of how Data Virtualization can help drive success in this fast-paced, ever-growing complex data landscape.
    In this webinar, you will learn from the Denodo experts how Data Virtualization can

    * Simplify Cloud Migration and Modernization by building a true virtual data services layer

    * Enable a Hybrid data fabric to support mission critical applications and security challenges

    * Drive Multi-Cloud use cases to bring the best value in a simplified and transparent way

    * Gain insights on next generation of Data Virtualization on the Cloud platform
  • Data Virtualization: An Introduction
    Data Virtualization: An Introduction
    Paul Moxon, VP Data Architecture & Chief Evangelist, denodo Recorded: Jan 17 2019 62 mins
    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

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