Ebook: Snowflake: The Definitive Guide: Architecting, Designing, and Deploying on the Snowflake Data Cloud
Author: Joyce Avila
- Genre: Computers // Databases
- Tags: Cloud Computing, Data Visualization, SQL, Query Performance Optimization, Data Warehouse, Data Governance, Access Control, Snowflake
- Year: 2023
- Publisher: O'Reilly Media
- City: Sebastopol, CA
- Edition: 1
- Language: English
- pdf
Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. Whether you're an IT professional working in data warehousing or data science, a business analyst or technical manager, or an aspiring data professional wanting to get more hands-on experience with the Snowflake platform, this book is for you.
You'll learn how Snowflake users can build modern integrated data applications and develop new revenue streams based on data. Using hands-on SQL examples, you'll also discover how the Snowflake Data Cloud helps you accelerate data science by avoiding replatforming or migrating data unnecessarily.
You'll be able to:
• Efficiently capture, store, and process large amounts of data at an amazing speed
• Ingest and transform real-time data feeds in both structured and semistructured formats and deliver meaningful data insights within minutes
• Use Snowflake Time Travel and zero-copy cloning to produce a sensible data recovery strategy that balances system resilience with ongoing storage costs
• Securely share data and reduce or eliminate data integration costs by accessing ready-to-query datasets available in the Snowflake Marketplace
You'll learn how Snowflake users can build modern integrated data applications and develop new revenue streams based on data. Using hands-on SQL examples, you'll also discover how the Snowflake Data Cloud helps you accelerate data science by avoiding replatforming or migrating data unnecessarily.
You'll be able to:
• Efficiently capture, store, and process large amounts of data at an amazing speed
• Ingest and transform real-time data feeds in both structured and semistructured formats and deliver meaningful data insights within minutes
• Use Snowflake Time Travel and zero-copy cloning to produce a sensible data recovery strategy that balances system resilience with ongoing storage costs
• Securely share data and reduce or eliminate data integration costs by accessing ready-to-query datasets available in the Snowflake Marketplace
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