The Concept of 'Lake Houses' in Data Management

This chapter explores the concept of 'lake houses' in data management, discussing the need for low-cost storage and the ability to run different use cases on the same data. It compares the approaches of Google, Databricks, and AWS, highlighting the benefits of treating data as tables and rows with cataloging on top. The chapter also emphasizes the importance of a centralized catalog, governance, and security in managing data.