Context-Conscious SQL and Metadata with Shinji Kim

September 4, 2025

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A standard problem in data-rich organizations is that vital context in regards to the information is commonly arduous to seize and even more durable to maintain updated. As extra individuals throughout the group use information and information fashions get extra complicated, merely discovering the correct dataset will be sluggish and create bottlenecks.

Choose Star is a knowledge discovery and metadata platform that builds a repeatedly up to date data graph of a corporation’s information by analyzing each its construction and the way it’s truly used. It enriches information with context resembling reputation, lineage, and semantic fashions, making it simpler for AI and groups to find, belief, and use the correct information. These enriched metadata layers are additionally extremely useful for big language fashions, considerably enhancing the accuracy of generated SQL queries.

Shinji Kim is the founder and CEO of Choose Star, and she or he joins Sean Falconer to debate fixing metadata curation challenges, managing information context at scale, utilizing LLMs for SQL technology, rising traits in metadata administration, and extra.

Full Disclosure: This episode is sponsored by Choose Star.

Sean’s been a tutorial, startup founder, and Googler. He has printed works masking a variety of matters from AI to quantum computing. At the moment, Sean is an AI Entrepreneur in Residence at Confluent the place he works on AI technique and thought management. You may join with Sean on LinkedIn.