New Memes, Old Themes
April 2022
Sponsored by Cloudera.
Understanding the complementary needs for and functions of data warehouses and lakes has long been vital to get the maximum value from both. Now, you also need to see where data fabric, data mesh, and data lakehouse fit.
Finally, we can move beyond the ancient conflict between data warehouse and data lake! It’s no longer one vs. the other but, rather, how these two concepts can now work together as a modern, integrated construct… for the benefit of both business and IT. This white paper shows how.
After a brief review of how data dominates modern business, the meaning and usage of the terms data warehouse and data lake are explained. Then follows a simple architectural model showing how the two are related and complement one another in today’s environment. This clearly demonstrates the power of envisaging a collaborative union of traditional and new approaches.
Three new architectural patterns—data fabric, data lakehouse, and data mesh are also discussed and related to this model.
We then explore ten areas where the appropriate combination and placement of functionality and data across the two environments optimally supports multiple business and technical needs.
Rounding out the paper is a brief description of the Cloudera Data Warehouse and how it subsumes both traditional data warehousing and the data lake, to provide a new hybrid on-premises, multi-cloud solution for modern digital business.
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