Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowpark using PythonKey FeaturesGet to grips with Snowpark’s basic and advanced featuresImplement workloads in domains like data engineering, data science, and data applications using Snowpark with PythonDeploy Snowpark in production with practical examples and best practicesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionSnowpark 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.

What you will learnHarness Snowpark with Python for diverse workloadsDevelop robust data pipelines with Snowpark using PythonDeploy mature machine learning modelsExplore the process of developing, deploying, and monetizing native apps using SnowparkDeploy and operate containers in SnowparkDiscover the pathway to adopting Snowpark effectively in productionWho this book is forThis book is for data engineers, data scientists, developers, and data practitioners seeking an in-depth understanding of Snowpark’s features and best practices for deploying various workloads in Snowpark using the Python programming language. Basic knowledge of SQL, proficiency in Python, an understanding of data engineering and data science basics, and familiarity with the Snowflake Data Cloud platform are required to get the most out of this book.

Table of ContentsDiscovering SnowparkEstablishing a Foundation with SnowparkSimplifying Data Processing Using SnowparkBuilding Data Engineering Pipelines with SnowparkDeveloping Data Science Projects with SnowparkDeploying and Managing ML Models with SnowparkDeveloping a Native Application with SnowparkIntroduction to Snowpark Container Services. .