This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatfog or migrating data unnecessarily.
You'll learn how to

Efficiently capture, store, and process large amounts of data at an amazing speed
Rapidly ingest and transform real- data feeds in both structured and semistructured format and deliver meaningful data insights within minutes
Use Travel and Zero-Copy cloning to produce a sensible data recovery strategy that balances the need for system resilience with ongoing storage cost
Securely share data and reduce or eliminate data integration costs by accessing fresh, ready-to-query data sets available within the Snowflake Data Marketplace



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