Snowflake Data Warehouse Engineering

Idioma: inglés

Editorial: APress, US, 2026

9798868826276

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Librería: Rarewaves.com USA, London, London, Reino UnidoRarewaves.com USA

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Vendedor de IberLibro desde 11 de junio de 2025

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Descripción del artículo del vendedor

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 LearnDesign 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). …

N° de ref. del artículo LU-9798868826276

Título
Snowflake Data Warehouse Engineering
Autor
Martin Hander
Editorial
APress, US
Año de publicación
2026
Estado
New
Encuadernación
Paperback
Idioma
inglés
ISBN 13
9798868826276

Rarewaves.com USA

London, London, Reino Unido

Vendedor de 5 estrellas

Vendedor de IberLibro desde 11 de junio de 2025

Tarifas de envío de Reino Unido a Estados Unidos de America

ArtículoDe 15 a 20 días hábilesDe 15 a 20 días hábiles
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