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Explore how to build a multimodal, AI-ready data lakehouse by integrating the Daft open source data engine with Unity Catalog in this 37-minute conference talk. Learn to move beyond traditional big data analytics to incorporate advanced AI/ML workflows that handle diverse datasets including documents, images, long-form text, embeddings, URLs, and videos. Discover how Unity Catalog serves as an ideal solution for organizing and governing multimodal data at scale, while Daft provides the processing power needed for AI-driven applications. Master the integration of Daft with Unity Catalog's core features such as volumes and functions to enable efficient data lakehouse operations. Gain practical knowledge on ingesting and processing multimodal data types, running AI/ML transformations and feature extractions at scale, and maintaining comprehensive control and visibility over your data through Unity Catalog's fine-grained governance capabilities. Understand how this combination creates a truly AI-native lakehouse architecture that supports modern data organization needs for advanced analytics and machine learning workloads.
