Book Image

Snowflake Cookbook

By : Hamid Mahmood Qureshi, Hammad Sharif
5 (1)
Book Image

Snowflake Cookbook

5 (1)
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)

Unique counts and Snowflake

Estimating unique counts for rows in distributed systems is a compute-intensive process. Snowflake uses a distributed algorithm that is state of the art. This technique is different from those used in other databases. It is faster but, at the same time, approximate. The recipe shall show you how to use the uniqueness functions that are available in Snowflake.

Getting ready

Note that this recipe's steps can be run either in the Snowflake WebUI or the SnowSQL command-line client. An extra small warehouse will be used in the recipe.

How to do it…

As part of this recipe, we shall explore the different count functions/capabilities of Snowflake. We shall start with the typical count and distinct count functions and how different combinations can yield different results. Then, we shall explore the HyperLogLog algorithm implementation in Snowflake, which can efficiently approximate count over groups. This is recommended for use cases where...