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Build a unified, open, and fully managed lakehouse for analytics and AI with BigQuery
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Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Discover how Google Cloud's BigQuery offers a unified storage and metadata experience for analytics and AI use cases. Learn about new capabilities that enable data and data sharing unification across engines. Explore HCA Healthcare's implementation of these features within its data ecosystem. Gain insights from speakers Justin Levandoski, Vinod Ramachandran, and Mangesh Patil as they discuss the advantages of a unified lakehouse approach for overcoming the limitations of fragmented analytics and AI systems. Understand how this solution addresses the challenges of distributed data and metadata across different engines, allowing customers to run multiple analytics and AI use cases on a single copy of their data spanning lakes and warehouses.

Build a Unified, Open, and Fully Managed Lakehouse for Analytics and AI with BigQuery

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