Tathagata Das

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2

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Sr. Staff Software Engineer Databricks

Tathagata Das is a Staff Software Engineer at Databricks and has been one of the core developers of Apache Spark (especially Structured Streaming) and Delta Lake. He is a member of Apache Spark PMC, and a Delta Lake committer. He is also one of the authors of Learning Spark: Lighting-fast Data Analytics (2nd edition). Previously, he was a grad student in the UC Berkeley at AMPLab where he conducted research about data-center processing frameworks and networks with Scott Shenker and Ion Stoica.

Bio from: Databricks DATA + AI Summit 2023

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Denny Lee Databricks 2

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Delta Kernel: Simplifying Building Connectors for Delta

2023-07-26 · Databricks DATA + AI Summit 2023 Watch

video

with Denny Lee (Databricks) , Tathagata Das (Databricks)

Flink API Data Lakehouse Databricks Delta PySpark

Since the release of Delta 2.0, the project has been growing at a breakneck speed. In this session, we will cover all the latest capabilities that makes Delta Lake the best format for the lakehouse. Based on lessons learned from this past year, we will introduce Project Aqueduct and how we will simplify building Delta Lake APIs from Rust and Go to Trino, Flink, and PySpark.

Talk by: Tathagata Das and Denny Lee

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc

Delta Lake AMA

2023-07-26 · Databricks DATA + AI Summit 2023 Watch

video

with Robert Pack (Databricks) , Bart Samwel (Databricks) , Allison Portis , Tathagata Das (Databricks)

Databricks Delta

Have some great questions about Delta Lake? Well, come by and ask the experts your questions!

Talk by: Bart Samwel, Tathagata Das, Robert Pack, and Allison Portis

Connect with us: Website: https://databricks.com Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/databricks Instagram: https://www.instagram.com/databricksinc Facebook: https://www.facebook.com/databricksinc