Architecting Data And Machine Learning Platforms
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Product Information
Brand
Pagify
Ideal For
Reading
Material
Paper
Country Of Origin
India
Pack Of
1
Author
Marco Tranquilini & Others
Genre
Computer Science
Isbn
9780000000000
Page Count
400
Product Type
Book
Product Description
- Premium Quality: Architecting Data and Machine Learning Platforms is a comprehensive 400-page paperback handbook designed for cloud architects who need to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way.
- Product Design: The book is structured to guide readers through designing, building, and modernising cloud native data and machine learning platforms, covering AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks.
- User Experience: Written with a practical, hands-on orientation, the handbook pulls together complex architectural concepts into an accessible guide suitable for both experienced and aspiring cloud professionals.
- Versatile Occasion: Well-suited for professional development, university-level computer science coursework, and as a reference text for teams working on enterprise data infrastructure projects.
- Quality Assurance: Published under the Pagify brand with ISBN 9781098151607, this paperback edition is printed on paper and originates from India, meeting standard publishing quality for technical references.
- Ideal For: Cloud architects, data engineers, and machine learning practitioners seeking a thorough, platform-agnostic guide to building modern data and AI infrastructure.