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Full Description
Build modern data platforms in the Snowflake AI Data Cloud with recipes that show how to design, govern, and operationalize AI-ready data solutions and applications
Key Features
Apply 100+ recipes to build governed, intelligent data and AI platforms
Design AI and data solutions with robust governance, lineage, and accountability
Learn when and why to use each pattern to maximize business outcomes
Book DescriptionSnowflake Cookbook, Second Edition is your guide to building modern enterprise data platforms in the Snowflake AI Data Cloud. Readers learn by doing standalone recipes that solve real tasks while also explaining when and why to use each pattern. This edition reflects Snowflake's evolution into a unified platform for data, AI, and applications, emphasizing governance, intelligent design, and production grade operations.
You'll create AI-ready solutions, align security and access with roles and policies, and enable trusted sharing across domains. Recipes cover data loading, transformations, tasks and streams automation, secure staging, object tagging and masking, lineage and observability fundamentals, replication and failover, and techniques for resilience with cloning and Time Travel. You'll also see how to connect to analytics and AI ecosystems to turn data into intelligence and action.
Written by a veteran Data professional and multi-year Snowflake Data Superhero, this edition blends practical execution with architectural judgment. By the end, you'll be ready to design governed, scalable, AI-enabled platforms that deliver reliable outcomes in the Snowflake AI Data Cloud. What you will learn
Set up secure, multi-environment projects and roles
Build AI-ready pipelines with tasks, streams, and stages
Enforce governance with policies, tags, and classifications
Share and replicate data across domains with control
Recover fast using cloning, Time Travel, and failover
Know when and why to apply each recipe for impact
Who this book is forThis book is for data professionals designing or implementing modern data platforms on the Snowflake AI Data Cloud. Data engineers, architects, analysts, and developers will gain both technical mastery and strategic perspective. Basic SQL and data warehousing knowledge is recommended. If you aim to build governed, scalable, AI-ready enterprise data solutions and enable intelligent data products, this book is for you.
Contents
Table of Contents
Getting started with Snowflake
Managing Data Lifecycle
Loading and Extracting data into and out of Snowflake
Building Data Pipelines in Snowflake
Data Protection and Security in Snowflake
Performance and Cost Optimization
Secure Data Sharing
Back to the Future with Time Travel
Advanced SQL Techniques
Extending Snowflake capabilities
Developer Experience and Productivity in Snowflake
