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
