Cloudera Cloudera

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Understand how to build a modern Data Lakehouse with Cloudera

The term Data Lakehouse first appeared in 2017 and was used to describe how Jellyvision had combined structured data processing (Data Warehouse) with a schemaless system (Data Lake). A Data Lakehouse overcomes the limitations of both a Data Lake and a Data Warehouse while maintaining the qualities of each, providing analytic flexibility to unstructured data.

Read this whitepaper to:

  • Learn what a Data Lakehouse architecture is and why it is useful

  • Understand the essential qualities that a lakehouse must possess 

  • Discover the benefits of a Data Lakehouse built on open standards

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