Data Lakehouses: The Hype, Reality, and Why You still Need a Logical Architecture

Digital Transformation

07-15-2021

Data Lakehouses: The Hype, Reality, and Why You still Need a Logical Architecture

Digital Transformation

07-15-2021


Data Lakehouses promise to deliver on all the benefits of data lakes and data warehouses combined. The idea is that unstructured and structured data can live in one repository, equally supporting both data scientists and BI and analytics users, while lowering costs and also improving processing power and flexibility.

As much as the blend benefits, however, data lakehouses also combine the weaknesses of data warehouses and data lakes, and a logical data fabric is still a necessity to unlock the full value from these new cloud offerings. If big data is any indication, most large organizations never put all of their data into a single repository because of both the effort and cost involved.

Join us to explore:

  • The hype and reality of data lakehouses
  • The logical data fabric and how it offsets the weaknesses of the lakehouses
  • The logical data fabric architecture with data virtualization as a core component

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CXOstories

Alison McCauley

Moderator:

Alison McCauley

CEO of Unblocked, emerging technology futurist and forbes contributing writer.

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David Linthicum

David Linthicum

Chief Cloud Strategy Officer, Deloitte Consulting, Father of Cloud Complexity Management

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Ravi Shankar

Ravi Shankar

SVP and CMO

Denodo

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