Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Snowflake Cookbook

You're reading from   Snowflake Cookbook Techniques for building modern cloud data warehousing solutions

Arrow left icon
Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800560611
Length 330 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Hamid Mahmood Qureshi Hamid Mahmood Qureshi
Author Profile Icon Hamid Mahmood Qureshi
Hamid Mahmood Qureshi
Hammad Sharif Hammad Sharif
Author Profile Icon Hammad Sharif
Hammad Sharif
Arrow right icon
View More author details
Toc

Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Getting Started with Snowflake 2. Chapter 2: Managing the Data Life Cycle FREE CHAPTER 3. Chapter 3: Loading and Extracting Data into and out of Snowflake 4. Chapter 4: Building Data Pipelines in Snowflake 5. Chapter 5: Data Protection and Security in Snowflake 6. Chapter 6: Performance and Cost Optimization 7. Chapter 7: Secure Data Sharing 8. Chapter 8: Back to the Future with Time Travel 9. Chapter 9: Advanced SQL Techniques 10. Chapter 10: Extending Snowflake Capabilities 11. Other Books You May Enjoy

Chapter 10: Extending Snowflake Capabilities

This chapter provides techniques for extending Snowflake capabilities and integrating a Snowflake-based data warehouse to work with other technologies. The chapter guides you through the creation of User-Defined Functions (UDFs), which can help introduce functionality that may currently be missing in Snowflake. It also talks about the two different languages that UDFs support and the two different modes in which UDFs can exist, and offers a guide on connecting Snowflake with Apache Spark for data exchanges between Snowflake and Spark. Then, the chapter explores scenarios involving externalizing data processing to a Spark engine, which could help support existing Spark pipelines in the customer's ecosystem or as a cost optimization technique for ETL.

The following recipes will be covered in this chapter:

  • Creating a Scalar user-defined function using SQL
  • Creating a Table user-defined function using SQL
  • Creating a Scalar...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image