This session dives into using the Oracle Python driver in conjunction with pandas and deltalake libraries. We will explore the mechanics of fetching large-scale data from Oracle and persisting it using Apache Parquet and Delta Lake formats.

Attendees will learn how to handle schema conversion, optimize memory usage during ingestion, and implement ACID transactions on the data lake, transforming a traditional database into a foundational component of a modern, open-source data platform.

This is a must-attend for any developer looking to master the intersection of Python backend development and data engineering.