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The "Snowflake Cookbook" is your guide to mastering Snowflake's unique cloud-centric architecture. This book provides detailed recipes for building modern data pipelines, configuring efficient virtual warehouses, ensuring robust data protection, and optimizing cost-performance-all while leveraging Snowflake's distinctive features such as data sharing and time travel. What this Book will help me do Set up and configure Snowflake's architecture for optimized performance and cost efficiency. Design and implement robust data pipelines using SQL and Snowflake's specialized features. Secure, manage, and share data efficiently with built-in Snowflake capabilities. Apply performance tuning techniques to enhance your Snowflake implementations. Extend Snowflake's functionality with tools like Spark Connector for advanced workflows. Author(s) Hamid Mahmood Qureshi and Hammad Sharif are both seasoned experts in data warehousing and cloud computing technologies. With extensive experience implementing analytics solutions, they bring a hands-on approach to teaching Snowflake. They are ardent proponents of empowering readers towards creating effective and scalable data solutions. Who is it for? This book is perfect for data warehouse developers, data analysts, cloud architects, and anyone managing cloud data solutions. If you're familiar with basic database concepts or just stepping into Snowflake, you'll find practical guidance here to deepen your understanding and functional expertise in cloud data warehousing.

data data-engineering Snowflake Analytics Cloud Computing DWH Spark SQL
O'Reilly Data Engineering Books
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