SESSION
Best Features of Delta Lake: Love Your Open Tables
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Lakehouse Architecture |
INDUSTRY | Enterprise Technology |
TECHNOLOGIES | Apache Spark, Delta Lake |
SKILL LEVEL | Beginner |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
Delta Lake is an amazing open source storage system for Spark and non-Spark analyses. This talk will teach you the key benefits of Delta Lake for Spark, Pandas, Rust, and Polars analyses. You will learn about the best Delta Lake features like Liquid Clustering, UniForm, column operations, merge, deleting rows, time travel, the change data feed, column mapping, generated columns, safe overwrite operations, schema evolution, and more. You will also see how Delta Lake tables are interoperable and how you can query them with engines like Spark, Trino, Flink, and Pandas.
SESSION SPEAKERS
Youssef Mrini
/Senior Solution Engineer
Databricks
Matthew Powers
/Staff Developer Advocate
Databricks