Snowflake Data Engineering in Practice: Designing Reliable, Secure, and Cost-Efficient Pipelines on the Cloud Data Platform

By Reynolds Meyerhoff

Snowflake Data Engineering in Practice takes you beyond the basics and into the realities of operating data pipelines in production. This book focuses on advanced pipeline design, orchestration, governance, testing, and optimization strategies required for enterprise-scale data engineering.
You'll learn how to process data incrementally, orchestrate workflows with streams and tasks, enforce data quality and integrity, implement security and access controls, and manage costs without sacrificing performance. The book also introduces CI/CD practices for Snowflake, environment promotion strategies, and techniques for evolving pipelines safely over time-including augmenting workflows with AI and machine learning outputs.
Designed for engineers responsible for maintaining reliable data systems, this volume equips you with the tools and patterns needed to deliver trusted, scalable, and cost-effective pipelines in real-world environments.
This book is ideal for: Practicing data engineers and platform engineersTeams operating Snowflake in productionArchitects designing governed, enterprise data systems

• Format: Paperback
• Language: English
• ISBN: B0GFWJDG3T
• ISBN13: 9798243206112
• Release Date: January 2026
• Publisher: Independently Published
• Length: 164 Pages
• Weight: 0.65 lbs.
• Dimensions: 0.3" x 7.0" x 10.0"