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How do you turn messy, siloed data into fuel for AI? In this episode, Empyrean’s Data Lead Siva Shivaganken joins Josh and Tom to explain the journey from raw to refined data, using practical analogies, real customer stories, and advice on implementing data lakes and medallion architectures that actually deliver business value. The panel put Microsoft Fabric, Snowflake, and Databricks head-to-head. They break down the pros, cons, and use cases of each — helping IT leaders choose the right fit for their people, budget, and business goals.
By Josh Rubens & Tom LeydenHow do you turn messy, siloed data into fuel for AI? In this episode, Empyrean’s Data Lead Siva Shivaganken joins Josh and Tom to explain the journey from raw to refined data, using practical analogies, real customer stories, and advice on implementing data lakes and medallion architectures that actually deliver business value. The panel put Microsoft Fabric, Snowflake, and Databricks head-to-head. They break down the pros, cons, and use cases of each — helping IT leaders choose the right fit for their people, budget, and business goals.

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