PRESENTED BY
Sushant Kumar
Product Marketing Manager, Denodo
Chris Day
Director, APAC Sales Engineering, Denodo
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WHAT IT'S ABOUT

Join Denodo at our upcoming Lunch & Learn Session. There are myths about data virtualization that are based on misconceptions and even falsehoods. These myths can confuse and worry people who - quite rightly - look at data virtualization as a critical technology for a modern, agile data architecture. In this Lunch & Learn we've decided that we need to set the record straight. It's time to bust a few myths! Plus you get to enjoy lunch on us with an UberEats voucher.

In this Lunch & Learn Session, we’ll be busting the 'performance' myth. “What about performance?” is usually the first question that we get when talking to people about data virtualization. After all, the data virtualization layer sits between you and your data, so how does this affect the performance of your queries? Sometimes the myth is perpetuated by people with alternative solutions…the ‘Put all your data in our Cloud and everything will be fine. Data virtualization? Nah, you don’t need that! It can't handle big queries anyway,’ type of thing.

Watch as we explore the basis of the 'performance' myth and examine whether there is any underlying truth to it.


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Spaces are limited. Please register to attend.

  • Online
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  • Wednesday 19 August | 12:00pm - 1:00pm AEST
  • Denodo
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]
    _
  • Wednesday 19 August | 12:00pm - 1:00pm AEST
  • Denodo
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Denodo is a leader in data management. The award-winning Denodo Platform is the leading logical data management platform for transforming data into trustworthy insights and outcomes for all data-related initiatives across the enterprise, including AI and self-service. Denodo's customers in all industries all over the world have delivered trusted AI-ready and business-ready data in a third of the time and with 10x better performance than with lakehouses and other mainstream data platforms alone.
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