Modern businesses need scalable, cost-efficient data platforms; however, traditional, fragmented systems are complex and expensive. Snowflake provides a modern, cloud-native, fully managed solution, simplifying data architecture while delivering performance and flexibility. This book helps readers leverage Snowflake’s full potential for advanced, scalable data solutions. This book begins by walking you through Snowflake account configuration and its unique three-layered architecture, introducing key architectural pillars. The book covers building data engineering pipelines using various methods like Snowpipe and Snowpark, differentiating between ETL and ELT patterns. Finally, you will learn to architect diverse data patterns, such as data warehouses, data lakes, data mesh, and lakehouses, and explore Snowpark for machine learning, Snowflake Horizon, Cortex, and building generative AI and LLM solutions. This book is designed for data enthusiasts, architects, and engineers who are looking to build modern, cloud-native data platforms using Snowflake.

Architecting Data Solutions with Snowflake: Design scalable, cloud-native data platforms for analytics, warehousing, and beyond (English Edition) PDF

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