PRESENTED BY

Sushant Kumar
Product Marketing
Manager

Chris Day
Director, APAC Sales 
Engineering
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What will you learn?

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! Join this Lunch & Learn as we explore the promises of a data lake as well as its downfalls to draw a final conclusion.

Spaces are limited; please ensure to register to save your seat.

Spaces are limited. Please register to attend.

  • Online
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  • Thursday 25 February | 1:00pm - 2:00pm AEDT
  • Denodo ANZ
Agenda

  • Introduction to data virtualization
  • Use cases & customer case studies
  • Guided demonstration of Denodo Test Drive
  • Q&A
  • Online
    [Region - edit Event-Venue-Address-Line1 under My Tokens]
    _
  • Thursday 25 February | 1:00pm - 2:00pm AEDT
  • Denodo ANZ
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Denodo is the leader in data virtualization providing agile, high performance data integration and data abstraction across the broadest range of enterprise, cloud, big data and unstructured data sources, and real-time data services at half the cost of traditional approaches.

Do you have any questions? Contact us.

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