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Snowflake Cookbook

Techniques for Building Modern Cloud Data Warehousing Solutions

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Develop modern solutions with Snowflake's unique architecture and integration capabilities; process bulk and real-time data into a data lake; and leverage time travel, cloning, and data-sharing features to optimize data operations. Key Features include building and scaling modern data solutions using Snowflake's all-in-one platform, performing advanced cloud analytics for big data and data science, and making quicker, better-informed business decisions by uncovering key insights from your data. This book introduces Snowflake's cloud-based data warehousing platform, highlighting its unique architecture. You will explore its compute model, learning how to scale extensively through virtual warehouses and configure them for optimal cost and performance. The integration with other technologies for staging and loading data is also covered. As you progress, you will leverage Snowflake's capabilities to process SQL statements and build data pipelines for high performance and scalability. You'll learn to create role hierarchies, add custom roles, and set default roles for users, followed by advanced topics like data sharing, cloning, and performance optimization. By the end, you will be well-versed in Snowflake's architecture for modern analytical solutions and understand best practices for solving common issues with practical recipes. This book is ideal for data warehouse developers, analysts, and database administrators. Familia

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Snowflake Cookbook, Hamid Mahmood Qureshi, Hammad Sharif

Langue
Année de publication
2021
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(souple),
État du livre
Abîmé
Prix
10,83 €

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