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)

Loading Parquet files into Snowflake

This recipe demonstrates how to load Parquet-format data from files present on cloud storage. We will make use of an external stage created on top of an AWS S3 bucket and will load the Parquet-format data into a new table.

Getting ready

Since we will be loading a file from our local system into Snowflake, we will need to first get such a file ready on the local system. To save time, you can download a previously created sample file from

How to do it…

We shall start by creating a database, followed by creating a table that will contain the Parquet file. We need will then create a file format for the Parquet file. The steps are as follows:

  1. Let's first create a database where we will create our table and load it with some sample data:
  2. Create a new table called TRANSACTIONS. We will load the sample data into this...