Data Brew by Databricks

Data Brew Season 1 Episode 3: Demystifying Delta Lake

4 snips
Dec 6, 2020
Guest
Michael Armbrust
In this podcast, Michael Armbrust, the creator of Spark SQL, discusses the conception and evolution of Delta Lake, efficient querying and troubleshooting slow queries, optimizing performance and query speed, understanding partitioning and Z Order, and exciting features for data ingestion and schema handling in Delta Lake.
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Episode notes
1
Introduction
00:00 • 2min
2
Conception and Evolution of Delta Lake
02:15 • 12min
3
Efficient querying and troubleshooting slow queries on Delta tables
14:40 • 2min
4
Optimizing Performance and Query Speed in Delta Lake
16:21 • 6min
5
Understanding Partitioning and Z Order in Delta Lake
21:59 • 2min
6
Exciting Features for Data Ingestion and Schema Handling in Delta Lake
24:04 • 2min