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Join us at the first Denodo Knowledge Session of 2021!

What will you learn?

In the last several decades, BI has evolved from large, monolithic implementations controlled by IT to orchestrated sets of smaller, more agile capabilities that include visual-based data discovery and governance. These new capabilities provide more democratic analytics accessibility that is increasingly being controlled by business users. However, given the rapid advancements in emerging technologies such as cloud and big data systems and the fast changing business requirements, creating a future-proof data management strategy is an incredibly complex task. 

Attend this online session to understand
:

  • BI program modernization challenges
  • What is data virtualization and why is its adoption growing so quickly?
  • How data virtualization works and how it compares to alternative approaches to data integration
  • How modern data virtualization can significantly increase agility while reducing costs

Spaces are limited; please ensure to register your interest early.

Agenda

  • Introduction
  • Rethink Your 2021 Data Management Strategy with Data Virtualization
  • Quiz 1
  • Demo
  • Quiz 2
  • Q&A


Thank you for your interest. Registration is already closed.

Discover upcoming Denodo APAC events here.

  • Online
    India
    _
  • January 21, Thursday | 10.00am - 11.00am (IST)
  • Denodo
Agenda

  • Introduction
  • Rethink Your 2021 Data Management Strategy with Data Virtualization
  • Quiz 1
  • Demo
  • Quiz 2
  • Q&A
  • Online
    India
    _
  • January 21, Thursday | 10.00am - 11.00am (IST)
  • 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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