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Delta Lake 2.0 Overview

On Demand

Type

  • Session

Format

  • In-Person

Track

  • Data Lakes, Data Warehouses and Data Lakehouses

Difficulty

  • Beginner

Room

  • Moscone South | Upper Mezzanine | 152

Duration

  • 35 min
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Überblick

Join this session to learn about how the wider Delta community collaborated together to bring these features and integrations together. This includes the
Integrations with Apache Spark™, Apache Flink, Apache Pulsar, Presto, Trino, and more.

Features such as OPTIMIZE ZORDER, data skipping using column stats, S3 multi-cluster writes, Change Data Feed, and more.

Language APIs including Rust, Python, Ruby, GoLang, Scala, and Java.

This will be an interactive session so come prepared with your questions—we should have answers!

 

After three years of hard work by the Delta community, we are proud to announce the release of Delta Lake 2.0. Completing the work to open-source all of Delta Lake while tens of thousands of organizations were running in production was no small feat and we have the ever-expanding Delta community to thank! Join this session to learn about how the wider Delta community collaborated together to bring these features and integrations together.

Session Speakers

Denny Lee

Databricks

Tathagata Das

Staff Software Engineer

Databricks

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