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)

Optimizing virtual warehouse scale

This recipe will explore how we can expand the number of concurrent queries that a virtual warehouse can process and identify the optimal sizing for your virtual warehouses. This entails analyzing query usage for each virtual warehouse and identifying whether the warehouse can process an additional load of queries concurrently or is limited. If it is struggling to match the demand from the workload, we will see how we can resize the cluster or virtual warehouse to an optimal size from a processing and billing perspective.

Getting ready

In this recipe, we will use Snowflake's web UI to show how to use different tools to put a load on the warehouse. We intend to use benchmarking queries in this case, which are available with Snowflake. Secondly, we shall be exploring analytics provided within the web UI to help understand the workload and actions that we can take based on the analysis.

How to do it…

Let's start with the...