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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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Converting data types and Snowflake's failure management

SQL queries frequently need to convert between data types. This recipe provides us with examples of conversion. Something that comes with conversion is failure – data type mismatches, for example. Snowflake provides a novel as well as a very structured way of handling such failure scenarios, and recovery methods. This allows the Snowflake user to build high-quality data processing pipelines that avoid failures and if they occur, know how to handle them, how to recover, and how to leave the system stable. Let's now look into Snowflake's unique approach to avoid errors during query execution by using TRY_ versions of different conversion functions.

How to do it…

The following steps walk you through various data type conversion scenarios:

  1. Let's start with the common scenario of converting a number stored as a string into a numeric value. We will explore the example of converting to...
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