SKU/Artículo: AMZ-B0G2SJBXMH
Mastering Snowflake Cloud Warehousing: A Complete Guide to Scalable Data Engineering, ELT Pipelines, and Modern Analytics Architecture
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.33 kg
0.33 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Mastering Snowflake Cloud Warehousing is the definitive guide for data professionals, engineers, analysts, architects, and business leaders who want to harness the full potential of Snowflake’s cutting-edge cloud data platform. Written by Zhao Colton, this comprehensive resource reveals how to design, build, optimize, and scale modern data ecosystems using Snowflake’s elastic compute, multi-cluster architecture, secure data sharing, and high-performance analytics engine. Whether you are migrating from legacy databases, developing end-to-end ELT pipelines, improving query performance, or architecting a fully automated data warehouse, this book provides clear explanations, practical walkthroughs, and real-world use cases. Readers will learn how to integrate Snowflake with tools such as dbt, Airflow, AWS, Azure, GCP, Kafka, Fivetran, and Tableau while mastering best practices for cost control, data modeling, security, and governance. From foundational concepts to advanced enterprise-grade implementations, this guide explores topics such as Snowflake virtual warehouses, micro-partitioning, time travel, zero-copy cloning, data lake integration, secure data sharing, real-time ingestion, and performance tuning. You’ll discover how to build scalable architectures, automate workflows, and deliver high-value analytics solutions built for growth. Packed with insights, diagrams, tutorials, and cloud engineering strategies, Mastering Snowflake Cloud Warehousing is the ultimate companion for anyone looking to elevate their data skills and build robust, cloud-native data platforms.
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AR$51.809
44% OFF
AR$28.783
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