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Data Virtualization has been getting a lot of attention recently - Gartner has called it an important component of any data integration architecture. Join us to find out what all the buzz is about.


What you will experience in this hands-on workshop?

We will begin with a brief introduction to data virtualization, followed by a hands-on session including:

  • How quickly and easily you can integrate and provision data using the Denodo Platform
  • How the Denodo query optimizer delivers data in real-time, on-demand even when dealing with very large data sets
  • How you can expose data as 'data services' for consumption by a variety of users and tools
  • How data virtualization can play a critical role in data governance and security within your organization
The Hands on Workshop will be a chance for you to get hands on experience of Data Virtualization and how it works. Come try out the Denodo Platform and become a Data Ninja!

*You need to bring your own laptop in order to participate in the hands-on workshop. Spaces are limited, please register to save your seat.

Agenda


08.30AM – 09.00AM  Registration 
09.00AM – 10.00AM Hands-on workshop part 1 
10.00AM – 10.30AM  Break 
10.30AM – 11.15AM Hands-on workshop part 2
11.15AM – 11.45AM Q&A
12.00PM  Session ends



Spaces are limited. Please register to attend.

  • Capital Tower
    Capital Tower, Level 9
    168 Robinson Road, Singapore
  • November 29, Friday | 8.30am to 12.00pm
  • Macie Tan
Agenda

  • Capital Tower
    Capital Tower, Level 9
    168 Robinson Road, Singapore
  • November 29, Friday | 8.30am to 12.00pm
  • Macie Tan
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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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