Delta Lake on Databricks Demo

Delta Lake is an open source data storage and management layer that brings reliability and performance to cloud data lakes. With Delta Lake on Databricks, you can build a lakehouse architecture that combines the best parts of data lakes and warehouses, on a simple and open platform for storing and managing all of your data, that supports all of your analytics and AI use cases.

In this demo, we cover the main features of Delta Lake, including unified batch and streaming data processing, schema enforcement and evolution, time travel, and support for UPDATEs/MERGEs/DELETEs, as well as touching on some of the performance enhancements available with Delta Lake on Databricks.

Video chapters:
00:00 Overview
00:38 Converting to Delta Lake
01:10 Multiple concurrent streaming reads and writes with Delta Lake
01:55 ACID Transactions
02:37 Simplifying your data architecture with Delta Lake
03:15 Schema enforcement and evolution
04:06 Time travel
05:38 Delta Lake DML: UPDATE, MERGE, DELETE
07:49 Databricks performance optimization

Connect with us:

[ReflectionOcean]

Where can I find this example notebook?

[terryliu]

Thanks! Great video. Is there a way to download the script that you used in the demo?

[ame]

Where can I find this example notebook?