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 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.

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Spis treści

The Ultimate Guide to Snowpark. Design and deploy Snowflake Snowpark with Python for efficient data workloads eBook -- spis treści

• 1. Discovering Snowpark
• 2. Establishing a Foundation with Snowpark
• 3. Simplifying Data Processing Using Snowpark
• 4. Building Data Engineering Pipelines with Snowpark
• 5. Developing Data Science Projects with Snowpark
• 6. Deploying and Managing ML Models with Snowpark
• 7. Developing a Native Application with Snowpark
• 8. Introduction to Snowpark Container Services