Microsoft Fabric System Engineering (Paperback)
Language: English
Published by Independently Published, 2026
- Softcover
- New

Seller: CitiRetail, Stevenage, United KingdomCitiRetail
AbeBooks seller since June 29, 2022
Condition: New
US$ 28.82
Quantity: 1 available
Add to basketItem description from seller
Paperback. Microsoft Fabric System Engineering is a practical, end-to-end guide for designing, building, and operating modern data platforms using Microsoft Fabric. Written for developers, data engineers, architects, and enterprise teams, this book breaks down complex concepts into clear, actionable steps that can be applied in real-world environments.You'll learn how to integrate data from multiple sources, design scalable analytics workflows, and deliver reliable business intelligence solutions using a unified platform. The book walks you through core Fabric components, data ingestion strategies, transformation pipelines, semantic modeling, and reporting workflows-while emphasizing performance, governance, and operational best practices. Rather than focusing on theory alone, this guide adopts a system-engineering mindset. Each chapter builds on the previous one, helping you understand how individual services work together to form a cohesive, production-ready analytics ecosystem. You'll gain insights into workload optimization, security considerations, collaboration across teams, and aligning technical solutions with business goals. Whether you're modernizing an existing data stack or building a new analytics platform from scratch, Microsoft Fabric System Engineering equips you with the knowledge and confidence to design robust, maintainable, and future-ready data solutions for enterprise use. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …
Seller Inventory # 9798242972438
- Title
- Microsoft Fabric System Engineering (Paperback)
- Author
- Nora Tech
- Publisher
- Independently Published
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798242972438
Written for developers, data engineers, architects, and enterprise teams, this book breaks down complex concepts into clear, actionable steps that can be applied in real-world environments.You’ll learn how to integrate data from multiple sources, design scalable analytics workflows, and deliver reliable business intelligence solutions using a unified platform. The book walks you through core Fabric components, data ingestion strategies, transformation pipelines, semantic modeling, and reporting workflows—while emphasizing performance, governance, and operational best practices.
Rather than focusing on theory alone, this guide adopts a system-engineering mindset. Each chapter builds on the previous one, helping you understand how individual services work together to form a cohesive, production-ready analytics ecosystem. You’ll gain insights into workload optimization, security considerations, collaboration across teams, and aligning technical solutions with business goals.
Whether you’re modernizing an existing data stack or building a new analytics platform from scratch, Microsoft Fabric System Engineering equips you with the knowledge and confidence to design robust, maintainable, and future-ready data solutions for enterprise use.
"Synopsis" may belong to another edition of this title.
CitiRetail
Stevenage, United Kingdom
AbeBooks seller since June 29, 2022
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 14 business days | 7 to 60 business days |
|---|---|---|
| First item | US$ 49.32 | US$ 49.32 |
Payment methods
Store description
Online business
Seller's business information
ABC BOOKS LIMITED
10 John Street
London, United Kingdom WC1N 2EB
Terms of sale
Orders can be returned within 30 days of receipt.
Shipping terms
Please note that titles are dispatched from our US, Canadian or Australian warehouses. Delivery times specified in shipping terms. Orders ship within 2 business days. Delivery to your door then takes 7-14 days.