Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale

Ullah, Muhammad

ISBN 10: 1098170210 / ISBN 13: 9781098170219

Published by O'Reilly Media, 2025

About this Item

Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Seller Inventory # M01098170210-V

Bibliographic Details

• Title: Advanced Snowflake: Processing Data, Developing Applications, and Deploying ML Models at Scale
• Publisher: O'Reilly Media
• Publication Date: 2025
• Language: English
• ISBN 10: 1098170210
• ISBN 13: 9781098170219
• Binding: Soft cover
• Condition: very good

About this title

Synopsis

As Snowflake's capabilities expand, staying updated with its latest features and functionalities can be overwhelming. The platform's rapid development gave rise to advanced tools like Snowpark and the Native App Framework, which are crucial for optimizing data operations but may seem complex to navigate.

In this essential book, author Muhammad Fasih Ullah offers a detailed guide to understanding these sophisticated tools, ensuring you can leverage the full potential of Snowflake for data processing, application development, and deploying machine learning models at scale. You'll gain actionable insights and structured examples to transform your understanding and skills in handling advanced data scenarios within Snowflake. By the end of this book, you will:

• Grasp advanced features such as Snowpark, Snowflake Native App Framework, and Iceberg tables
• Enhance your projects with geospatial functions for comprehensive geospatial analytics
• Interact with Snowflake using a variety of programming languages through Snowpark
• Implement and manage machine learning models effectively using Snowpark ML
• Develop and deploy applications within the Snowflake environment

About the Author

Muhammad Fasih Ullah is the head of data and analytics for NordicFeel Group, the leading Nordic beauty ecommerce group. His current work focuses on developing resilient and high-functioning data organizations that manage scalable data and analytics needs. He has helped teams design and build scalable data layers that process millions of rows daily and prepare data for analytical use across multiple brands and markets.

As a four-time Snowflake Data Superhero, the platform's highest community recognition, Fasih has leveraged his in-depth knowledge of Snowflake to help save his organization and clients hundreds of thousands of dollars in data warehousing costs while dramatically improving performance and capabilities. With over eight years of experience in data, analytics, data architecture, and AI, Fasih has built his expertise across diverse industries at companies including Voi Technology and Afiniti.