The Ultimate Guide to Snowpark: Design and deploy Snowpark with Python for efficient data workloads

The Ultimate Guide to Snowpark: Design and deploy Snowpark with Python for efficient data workloads
by 作者: Shankar Narayanan Sgs (Author), Vivekanandan Ss (Author), Jeff Hollan (Foreword)
Publisher Finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2024-05-30
Language 语言: English
Pages 页数: 254 pages
ISBN-10 书号: 1805123416
ISBN-13 书号: 9781805123415


Book Description

Develop robust data pipelines, deploy mature machine learning models, and build secure data apps with Snowpark using Python


Key Features:

    Get 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 eBook


    Book Description:

    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.

    What You Will Learn:

      Harness 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 production


      Who this book is for:

      This 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.

      Review

      “This guide is more than just a technical manual; it is a gateway to mastering Snowpark. The authors have meticulously crafted a resource that balances foundational knowledge with advanced techniques, providing clear, actionable guidance complemented by practical examples and code snippets. Their deep understanding of Snowpark’s capabilities is evident in every chapter, making this book an indispensable tool for anyone eager to excel in the Snowflake environment.

      As the Director of Product at Snowflake managing Snowpark, I am profoundly proud and grateful to the authors who invested their expertise and passion into empowering our user community. To the readers, whether you are starting your journey with Snowflake or looking to expand your existing skills, The Ultimate Guide to Snowpark will equip you with the knowledge to transform your ideas into reality, elevate your projects, and lead the way in data-driven innovation.”

      Jeff Hollan Director of Product, Snowflake


      About the Author

      Shankar Narayanan is a Technical Architect with over a decade of diverse experience leading and delivering large-scale Data and Cloud implementations for Fortune 500 companies across various industries. He has successfully implemented Snowflake Data Cloud for many organizations leading the customers to adopt Snowflake. He holds a bachelor's and master's degree in Computer science and holds many certifications in multi-cloud platforms and Snowflake. He is an award-winning blogger and actively contributes to various technical publications and open-source projects. For his technical contribution to the community, He has been selected as SAP Community Topic leader by SAP and is selected as one of the 72 Snowflake Data Heroes by Snowflake.

      Vivekanandan spearheads the GenAI enablement team at Verizon, leveraging over a decade of expertise in Data Science and Big Data. His professional journey spans across building analytics solutions and products across diverse domains, and proficient in cloud analytics and data warehouses. He holds a bachelor's degree in Industrial engineering from Anna University, a long distance program in Big Data analytics from IIM, Bangalore, and a master's in Data Science from Eastern University. As a seasoned trainer, he imparts his knowledge, specializing in Snowflake and GenAI, also a data science guest faculty and advisor for various educational institutes. His solution is ranked in the top 1 percentile in Kaggle Kernels globally.

      Amazon page

      相关文件下载地址

      Formats: PDF, EPUB | 23 MB

      打赏
      未经允许不得转载:finelybook » The Ultimate Guide to Snowpark: Design and deploy Snowpark with Python for efficient data workloads

      相关推荐

      • 暂无文章

      评论 抢沙发

      • 昵称 (必填)
      • 邮箱 (必填)
      • 网址

      觉得文章有用就打赏一下

      您的打赏,我们将继续给力更多优质内容

      支付宝扫一扫打赏

      微信扫一扫打赏