Beyond JVMs: Reinventing Catalogs with Daft & Delta Lake

​Python users can now interact with Delta Lake tables without the complexities of a Java-based environment! While existing data engines handle processing well, Daft, a unified data engine for data engineering, analytics, and ML/AI, takes things further by redefining how users interact with tables and catalogs natively in Python.

​ What You'll Learn

• ​How Daft enables fast, parallel reading from Delta Lake with data skipping optimizations, delivering order-of-magnitude performance gains.

• ​How its full-featured DataFrame API and multimodal data support let you seamlessly transform data for ML and AI workloads.

• ​How Daft unifies modern data and ML stacks, making it effortless to move from raw data → ML-ready data → model ingestion in one environment.

​Join us to see how Daft & Delta Lake are changing the game for Python-first data workflows. RSVP today!