Book Image

Snowflake Cookbook

By : Hamid Mahmood Qureshi, Hammad Sharif
Book Image

Snowflake Cookbook

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)

Extracting data from Snowflake

This recipe walks you through extracting data from a Snowflake table. We will extract the data into an internal stage and later demonstrate how to do the same via an external stage, which will result in data being written to an S3 bucket.

Getting ready

You should have a table already created and populated, from which we will extract data. This table can be any table that you have previously loaded as part of this chapter or any other table available in your environment.

Ensure that you have followed the steps in the Configuring Snowflake access to private S3 buckets recipe and have enabled read and write access for Snowflake to your bucket. If write access is not present, Snowflake will not be able to write the extract into your bucket.

We will use SnowSQL to get the file from the internal stage to the local directory, so make sure that SnowSQL is installed on your system and you can successfully connect to your Snowflake instance. We don...