PRESENTED BY
Ben Henshall
Regional Vice President Sales, Australia & New Zealand
Chris Day
Director, APAC Sales Engineering

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What it's about?

Join Denodo at our upcoming Lunch & Learn Session. The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. Data Virtualization is a modern data integration technique in which a single semantic layer can be built containing semantic definitions of all of the underlying sources. Attend this webinar to understand how data virtualization:

  • Helps organisations create a logical architecture.
  • Seamlessly implement the concept of 'Data Marketplace'.
  • Enable all business users to derive value from self-service analytics tools.

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 26 August | 12:00pm - 1:00pm AEST
  • Denodo
Agenda

7:30 a.m.
Breakfast & Introductions

8:00 a.m.
Predictive Analytics: The Hottest Techniques and Tools
Dr. Fern Halper, TDWI VP and Senior Research Director for Advanced Analytics

8:45 a.m.
The Role of Data Virtualization in the Era of Big Data & Predictive Analytics
Thomas LaSalle, Director at Denodo

9:15 a.m.
Q&A

9:30 a.m.
Event concludes; optional networking

  • Online
    [Region - edit Event-Venue-Address-Line1 under My Tokens]
    _
  • Thursday 26 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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