PRESENTED BY
Elaine Chan
Regional VP, ASEAN & Korea
Chris Day
Director, APAC Sales Engineering
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About the Session

Data lakes and data warehouses offer organizations a centralized data delivery platform. From the recent Building the Unified Data Warehouse and Data Lake report by leading industry analysts TDWI, we discovered 64% of organizations stated the objective for a unified Data Warehouse and Data Lakes is to get more business value and that 84% of organizations polled felt that a unified approach to Data Warehouses and Data Lakes was either extremely or moderately important.

In the recent report Logical Data Fabric to the Rescue Integrating Data Warehouses, Data Lakes, and Data Hubs by Rick van der Lans, we also discovered the importance of “time to insight and speed”

During this webinar, we will discuss how a logical data fabric not only helps organizations have a holistic view of their data across multiple data lakes, data warehouses, and data sources but how it improves time to value.

Attend & Learn:

  • How a Logical Data Fabric is the right approach to assist organizations to unify their data.
  • The advanced features of a Logical Data Fabric that assist with optimizing your queries irrespective of data source, whether the data is in a data lake, data warehouse, or other sources.
  • How a Logical Data Fabric with Data Virtualization enhances your legacy data integration landscape to simplify data access and encourage self-service.

Denodo Platform is used by

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Spaces are limited and prioritised for ASEAN & Korea region attendees. Please register to attend.

Agenda

1.00pm - 1.50pm: Presentation & Demo

1.50pm - 2.00pm: Q&A / Next Steps

2.00pm: End of Session

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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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