PRESENTED BY
Sushant Kumar
Product Marketing Manager
Chris Day
Director, APAC Sales Engineering
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What will you learn?

Join Denodo at our upcoming Lunch & Learn Session. During this session you will be able to engage online with our team around the value that data virtualization can bring to your information landscape and take part in some fun quizzes! Plus you get to enjoy lunch on us with an UberEats voucher. 

Almost 65% of self-service initiatives are ranked by their users as average or lower, citing that "it requires more training than expected" and that "it can create informational chaos". A Data Fabric based on Data virtualization can go a long way towards solving those problems and providing a ‘Data Marketplace’, where citizen analysts and data scientists can securely "shop" for data across all the data assets in the enterprise. In this session we will show how to:

  • Use Data Virtualization to reduce up to 80% the time required to deliver data to the business, adapted to the needs of each user.
  • Apply consistent security and governance policies across the self-service data delivery process.
  • Use an active Data Catalog linked to the data delivery infrastructure to seamlessly implement the concept of 'Data Marketplace'.

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


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Spaces are limited. Please register to attend.

  • Online
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  • Thursday 24 September | 12:00pm - 1:00pm AEST
  • 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 24 September | 12:00pm - 1:00pm AEST
  • Denodo ANZ
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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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