Part 8/10:

• Text, Image, and Vector Data Processing: Handling unstructured data (PDFs, images) and vector representations (embeddings) via tools like Cortex Search, enabling semantic search and question-answering.

An exciting part of the session involves demonstrating a demo notebook where Snowflake accesses an Iceberg table, performs data ingestion, and applies large language models (LLMs) for analyzing product reviews, sentiment scoring, and building intelligent chatbots on top of structured and unstructured data.

The Future of Data Engineering with Open Table Formats

The speaker highlights that metadata management is evolving, with multiple levels including manifest lists, snapshots, and catalog interfaces. This layered metadata approach offers: