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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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Chapter 9: Advanced SQL Techniques

In this chapter, you'll learn how to use multiple advanced SQL techniques using the Snowflake data warehouse. These SQL techniques are essential from a data warehousing perspective, and include trend analysis, temporal analytics, managing sequences, unique counts, and managing processes as transactions.

The following recipes will be covered in this chapter:

  • Managing timestamp data
  • Shredding date data to extract calendar information
  • Unique counts and Snowflake
  • Managing transactions in Snowflake
  • Ordered analytics over window frames
  • Generating sequences in Snowflake

Let's get started!

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