Facebook Tweeter Youtube
Close

Popularité

La popularité est une évaluation communautaire de chaque livre calculée sur une échelle de 0 à 100.

Cette évaluation repose sur une agrégation de diverses quantités qui reflètent la vie de chaque livre au sein de la communauté des lecteurs. Cette vie s'exprime en fréquence de lecture, nombre d'étagères publiques et privées dans lesquelles le livre est présent.

Un calcul 'propriétaire' mélangeant ces quantités restitue sous la forme synthétique d'un score l'aura collective du livre.

Close

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

Key Features

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

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.

The Ultimate Guide to Snowpark

QRcode

Design and deploy Snowpark with Python for efficient data workloads

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

Voir toute la description...

Auteur(s): Sgs, Shankar Narayanan • Ss, Vivekanandan • Hollan, Jeff

Editeur: Packt Publishing

Année de Publication: 2024

pages: 254

Langue: Anglais

ISBN: 978-1-80512-341-5

eISBN: 978-1-80512-445-0

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

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 features
  • Implement workloads in domains like data engineering, data science, and data applications using Snowpark with Python
  • Deploy Snowpark in production with practical examples and best practices
  • Purchase 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 workloads
  • Develop robust data pipelines with Snowpark using Python
  • Deploy mature machine learning models
  • Explore the process of developing, deploying, and monetizing native apps using Snowpark
  • Deploy and operate containers in Snowpark
  • Discover 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.

Voir toute la description...