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)

Chapter 8: Back to the Future with Time Travel

Dealing with data issues is never a pleasant job and especially so when you cannot determine when the data was changed or whether the data has been lost altogether. Snowflake provides an incredibly unique way of going back in time through the Time Travel feature. This chapter explores the various applications of the Time Travel feature and combines it with cloning to tackle common data loss and debugging issues.

The following topics will be covered in this chapter:

  • Using Time Travel to return to the state of data at a particular time
  • Using Time Travel to recover from the accidental loss of table data
  • Identifying dropped databases, tables, and other objects and restoring them using Time Travel
  • Using Time Travel in conjunction with cloning to improve debugging
  • Using cloning to set up new environments based on the production environment rapidly