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The Ultimate Guide to Snowpark

You're reading from   The Ultimate Guide to Snowpark Design and deploy Snowflake Snowpark with Python for efficient data workloads

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781805123415
Length 254 pages
Edition 1st Edition
Languages
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Authors (2):
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Shankar Narayanan SGS Shankar Narayanan SGS
Author Profile Icon Shankar Narayanan SGS
Shankar Narayanan SGS
Vivekanandan SS Vivekanandan SS
Author Profile Icon Vivekanandan SS
Vivekanandan SS
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Toc

Table of Contents (14) Chapters Close

Preface 1. Part 1: Snowpark Foundation and Setup
2. Chapter 1: Discovering Snowpark FREE CHAPTER 3. Chapter 2: Establishing a Foundation with Snowpark 4. Part 2: Snowpark Data Workloads
5. Chapter 3: Simplifying Data Processing Using Snowpark 6. Chapter 4: Building Data Engineering Pipelines with Snowpark 7. Chapter 5: Developing Data Science Projects with Snowpark 8. Chapter 6: Deploying and Managing ML Models with Snowpark 9. Part 3: Snowpark Applications
10. Chapter 7: Developing a Native Application with Snowpark 11. Chapter 8: Introduction to Snowpark Container Services 12. Index 13. Other Books You May Enjoy

Discovering Snowpark

Snowpark is the recent major innovation released by Snowflake that provides an intuitive set of libraries and runtimes for querying and processing data at scale in Snowflake. This chapter aims to guide you through Snowpark to understand its unique capabilities. In addition, the chapter helps you learn how to utilize Python with Snowpark and implement it in various workloads such as data engineering, data science, and data applications. By the end of this chapter, you will have grasped Snowpark’s capabilities and benefits, including faster data processing, scalability, and reduced costs.

In this chapter, we’re going to cover the following main topics:

  • Introducing Snowpark
  • Leveraging Python for Snowpark
  • Understanding Snowpark for different workloads
  • Realizing the value of using Snowpark
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The Ultimate Guide to Snowpark
Published in: May 2024
Publisher: Packt
ISBN-13: 9781805123415
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