Snowflake Data Warehouse Engineering

Language: English

Published by Apress Okt 2026, 2026

9798868826276

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Neuware -Design, build, and operate a production-grade analytics platform on Snowflake. This practical guide shows how Snowflake architecture shapes modeling, ingestion, and transformation choices; how to engineer ELT pipelines for structured and semi-structured data; and how to make performance, workload, security, and cost decisions that stand up in real projects. The approach is engineering-first and scenario-driven, turning concepts into repeatable, auditable solutions teams can use day to day.Beyond feature coverage, the emphasis is operations: CI/CD for SQL and Snowpark code, monitoring and observability, least-privilege governance with roles and policies, cost guardrails, secure sharing and collaboration, and business continuity with Time Travel, cloning, and replication. You will learn Snowflake-specific techniques for pruning, selective clustering, streaming and CDC, and dynamic refresh.What makes this book especially useful is its end-to-end operating playbook: opinionated patterns, checklists, and guardrails that connect architecture, modeling, ingestion and ELT, governance and security, performance and cost, and the everyday practices of releasing and recovering safely. It focuses on concrete decisions and the trade-offs behind them, helping teams avoid legacy anti-patterns while building a reliable, auditable platform that is ready to evolve.What You Will Learn- Design Snowflake architectures that align storage, compute, security, and governance into a coherent, scalable platform.- Model, load, and transform structured and semi-structured data using streams, tasks, MERGE, and SCD2 patterns.- Tune performance and control cost with micro-partition pruning, selective clustering, warehouse sizing, and workload isolation.- Implement least-privilege RBAC, masking and row access policies, auditing, and tag-driven governance.- Build reliable ELT pipelines and release safely with CI/CD, testing, cloning, and SWAP-based promotion.- Operate with observability and SRE practices using Snowflake usage views and SLOs.- Share and collaborate securely with Secure Data Sharing and Marketplace, and plan replication and DR for continuity.Who This Book Is ForData engineers; data warehouse and solution architects; analytics engineers; BI developers; advanced data analysts; DBAs moving from on-prem to cloud (intermediate level with SQL and warehousing basics).Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 556 pp. Englisch.

Seller Inventory # 9798868826276

Title
Snowflake Data Warehouse Engineering
Author
Martin Hander
Publisher
Apress Okt 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 13
9798868826276
Item weight
1,032 grams
Dimensions
254x178x30 mm

buchversandmimpf2000

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