Table Storage in Data Lakes

This lecture covers the concept of table storage in data lakes, focusing on technologies like Delta Lake, Iceberg, and Hudi. It explains how these systems support record updates and the history behind their development. The instructor discusses the design of table storage for mini-batch updates, the separation of incremental data and logs, and the importance of snapshot isolation. Different approaches to record updates in Delta Lake, Iceberg, and Hudi are compared, highlighting their efficiency for different use cases.