Build a unified, open, and fully managed lakehouse for analytics and AI with BigQuery

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A developer’s guide to LLMs
Опубликовано 1 июля 2024, 15:39
Customers increasingly want to run multiple analytics and artificial intelligence (AI) use cases on a single copy of their data spanning lakes and warehouses. However, the fragmented nature of today’s analytics and AI systems poses limits with distributed data and metadata across different engines. Google Cloud now offers a unified storage and metadata experience. Learn how these new capabilities in BigQuery can help unify the data and data sharing across engines and how HCA Healthcare is using them within its data ecosystem.

Speakers: Justin Levandoski, Vinod Ramachandran, Mangesh Patil

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All sessions from Google Cloud Next → goo.gle/next24

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Event: Google Cloud Next 2024
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