SESSION

Best Features of Delta Lake: Love Your Open Tables

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OVERVIEW

EXPERIENCEIn Person
TYPEBreakout
TRACKData Lakehouse Architecture
INDUSTRYEnterprise Technology
TECHNOLOGIESApache Spark, Delta Lake
SKILL LEVELBeginner
DURATION40 min
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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