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)

Chapter 3: Loading and Extracting Data into and out of Snowflake

For any modern data warehouse system, getting data into the system and extracting data out of the system are key activities. This chapter provides a set of recipes that will guide you through the various nuances of loading data into Snowflake. The chapter talks about techniques for loading bulk data from on-premises systems and cloud storage and provides insights into the steps required to load streaming data into Snowflake by using Snowpipe.

The following recipes are included in this chapter:

  • Configuring Snowflake access to private S3 buckets
  • Loading delimited bulk data into Snowflake from cloud storage
  • Loading delimited bulk data into Snowflake from your local machine
  • Loading Parquet files into Snowflake
  • Making sense of JSON semi-structured data and transforming to a relational view
  • Processing Newline-Delimited JSON (or NDJSON) into a Snowflake table
  • Processing near real-time data...