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Book Overview & Buying
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Table Of Contents
The Ultimate Guide to Snowpark
By :
The Ultimate Guide to Snowpark
By:
Overview of this book
Snowpark is a powerful framework that helps you unlock numerous possibilities within the Snowflake Data Cloud. However, without proper guidance, leveraging the full potential of Snowpark with Python can be challenging. Packed with practical examples and code snippets, this book will be your go-to guide to using Snowpark with Python successfully.
The Ultimate Guide to Snowpark helps you develop an understanding of Snowflake Snowpark and how it enables you to implement workloads in data engineering, data science, and data applications within the Data Cloud. From configuration and coding styles to 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 large language models (LLMs) using Snowpark container services.
By the end of this book, you'll be able to leverage Snowpark's capabilities and propel your career as a Snowflake developer to new heights.
Table of Contents (14 chapters)
Preface
Chapter 1: Discovering Snowpark
Chapter 2: Establishing a Foundation with Snowpark
Part 2: Snowpark Data Workloads
Chapter 3: Simplifying Data Processing Using Snowpark
Chapter 4: Building Data Engineering Pipelines with Snowpark
Chapter 5: Developing Data Science Projects with Snowpark
Chapter 6: Deploying and Managing ML Models with Snowpark
Part 3: Snowpark Applications
Chapter 7: Developing a Native Application with Snowpark
Chapter 8: Introduction to Snowpark Container Services
Index