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Snowflake Cookbook

Snowflake Cookbook

By : Hamid Mahmood Qureshi, Hammad Sharif
4.2 (17)
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Snowflake Cookbook

Snowflake Cookbook

4.2 (17)
By: Hamid Mahmood Qureshi, Hammad Sharif

Overview of this book

Snowflake is a unique cloud-based data warehousing platform built from scratch to perform data management on the cloud. This book introduces you to Snowflake's unique architecture, which places it at the forefront of cloud data warehouses. You'll explore the compute model available with Snowflake, and find out how Snowflake allows extensive scaling through the virtual warehouses. You will then learn how to configure a virtual warehouse for optimizing cost and performance. Moving on, you'll get to grips with the data ecosystem and discover how Snowflake integrates with other technologies for staging and loading data. As you progress through the chapters, you will leverage Snowflake's capabilities to process a series of SQL statements using tasks to build data pipelines and find out how you can create modern data solutions and pipelines designed to provide high performance and scalability. You will also get to grips with creating role hierarchies, adding custom roles, and setting default roles for users before covering advanced topics such as data sharing, cloning, and performance optimization. By the end of this Snowflake book, you will be well-versed in Snowflake's architecture for building modern analytical solutions and understand best practices for solving commonly faced problems using practical recipes.
Table of Contents (12 chapters)
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Keeping costs in check when sharing data with non-Snowflake users

Snowflake allows data to be shared not only with other Snowflake users, but also with non-Snowflake users. When sharing with a non-Snowflake user, a reader account must be created through which non-Snowflake users gain access to the shared data. Because reader accounts share the parent account's compute resources, some limits must be introduced on the reader account to avoid a hefty compute bill.

Through this recipe, you will explore how to limit the compute costs associated with data sharing when data is shared with non-Snowflake customers, and the compute of the data provider is used.

Getting ready

You will need to be connected to your Snowflake instance via the web UI or the SnowSQL client to execute this recipe. We will act as a data provider and create a reader account that can be subsequently used to share data with non-Snowflake users.

Since we will be creating a reader account, which is an account...

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