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

Data Warehouse

11-04-2021

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

Data Warehouse

11-04-2021


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 data scientists, BI and analytics users, while lowering costs and also improving processing power and flexibility.

As much as the blend has benefits, Data Lakehouses also combine the weaknesses of data lakes and data warehouses, 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 the effort, the cost involved and the ever changing data landscape.

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Hamish Taylor

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Hamish Taylor

Former CEO of Eurostar & Sainbury's Bank / Former Head of Brands, British Airways

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David Linthicum

David Linthicum

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

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Director of Product Marketing (EMEA & LATAM)

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