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)

Connecting Snowflake with Apache Spark

Spark is a general-purpose data processing engine that can connect with different technologies. This recipe walks you through downloading the drivers and performing the configuration required to connect Spark with Snowflake. For simplicity, we will be performing the configuration on a standalone version of Spark running on an on-premise machine, but these instructions are portable to Spark clusters running on cloud platforms as well.

Getting ready

You will need to be connected to your Snowflake instance via the Web UI or the SnowSQL client to execute this recipe.

Note

This recipe assumes that Spark is installed and configured on your machine or that you have access to a cloud-based Spark installation.

How to do it

We will locate the JDBC driver and the Snowflake connector for Spark and use them to configure Spark connectivity with Snowflake:

  1. Our first step will be to identify the correct version of the Snowflake Connector...