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Simplify Data Ingest and Egress with the New Python Data Source API

Published: 07 July 2025
on channel: Databricks
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Data engineering teams are frequently tasked with building bespoke ingest and/or egress solutions for myriad custom, proprietary, or industry-specific data sources or sinks. Many teams find this work cumbersome and time-consuming. Recognizing these challenges, Databricks interviewed numerous companies across different industries to better understand their diverse data integration needs. This comprehensive feedback led us to develop the Python Data Source API for Apache Spark™.

Talk By: Craig Lukasik, Sr. SSA, Databricks

Here’s more to explore:
Production ready data pipelines for analytics and AI: https://www.databricks.com/solutions/...
The Big Book of Data Engineering: https://www.databricks.com/resources/...
See all the product announcements from Data + AI Summit: https://www.databricks.com/events/dat...

Connect with us: Website: https://databricks.com
Twitter:   / databricks  
LinkedIn:   / databricks  
Instagram:   / databricksinc  
Facebook:   / databricksinc  

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