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Mastering Snowflake SQL & Scripting: The Hands-on Guide to Generating, Querying, Transforming, and Automating Data in Snowflake Data Cloud

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Master Snowflake faster than ever with this clear, example-packed guide written specifically for developers, data analysts, data engineers, and DBAs moving to the Snowflake Data Cloud.
Whether you're completely new to Snowflake or migrating from Oracle, SQL Server, PostgreSQL, Redshift, or MySQL, Mastering Snowflake SQL & Scripting gives you exactly what you need to become productive immediately—and eventually a true Snowflake expert.
Authored by data platform veteran Andrew Ming, this concise yet comprehensive book walks you through real-world examples and best practices you can apply today. Every chapter builds on the previous one, progressing from basic queries to sophisticated analytic functions and full-blown automation with Snowflake Scripting and stored procedures.
With this book, you’ll learn how and generate data efficiently using INSERT, COPY INTO, and SnowpipeWrite powerful SELECT queries with joins, subqueries, CTEs, and window functionsMaster analytic and window functions for running totals, moving averages, ranking, lag/lead, and advanced reportingBuild reusable stored procedures and user-defined functions (UDFs) in SQL and Snowflake ScriptingCreate robust scripts with loops, conditionals, cursors, and exception handlingAutomate recurring tasks using Snowflake Tasks, Streams, and procedural logicOptimize query performance and understand cost-control techniquesWork seamlessly with SnowSQL, Snowflake Worksheets, and popular BI/ETL toolsPacked with hundreds of ready-to-run examples, performance tips, and “pro tips” sidebars, this is the modern, hands-on Snowflake book you’ve been waiting for.
Perfect analysts writing their first Snowflake queriesData engineers building scalable pipelinesDevelopers automating data workflowsDBAs and architects migrating legacy databases to SnowflakeStart mastering Snowflake today—add this book to your cart and take your skills to the next level!

158 pages, Kindle Edition

Published November 29, 2025

About the author

Andrew Ming

46 books

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