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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 FREE CHAPTER
2. Chapter 1: Discovering Snowpark 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

Preface

Snowpark is a powerful framework that helps you unlock a realm of possibilities within the Snowflake Data Cloud. However, leveraging Snowpark’s full potential with Python can be challenging without proper guidance. Packed with practical examples and code snippets, this book will guide you to successfully use Snowpark with Python.

The Ultimate Guide to Snowpark helps you develop an understanding of Snowpark and how it integrates various workloads, such as data engineering, data science, and data applications, within the Data Cloud.

From configuration to coding styles and workloads such as data manipulation, collection, preparation, transformation, aggregation, and analysis, this guide will equip you with the right knowledge to make the most of this framework. You’ll discover how to build, test, and deploy data pipelines and data science models. As you progress, you’ll deploy data applications natively in Snowflake and operate with LLMs using Snowpark container services.

By the end, you’ll be well-positioned to leverage Snowpark’s capabilities and propel your career as a Snowflake developer to new heights.

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