Analytics Engineering with Microsoft Fabric and Power BI
Language: English
Published by O'Reilly Media, US, 2026
- Softcover
- New

Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
While Microsoft Power BI has dominated the business intelligence market for years and is a go-to tool for creating visually appealing, interactive reports and dashboards, it's now an integral part of Microsoft Fabric, the end-to-end analytics platform that offers unprecedented flexibility and scalability for building enterprise-grade data analytics solutions.This book covers everything analytics engineers need to know to design and implement robust and efficient analytics solutions using Microsoft Fabric and Power BI. You'll learn the core components of Fabric, such as lakehouses, warehouses, and eventhouses, and how to work with semantic models, ensuring that data is structured and ready for analysis. You'll also discover essential techniques in both Microsoft Fabric and Power BI that you can apply in your day-to-day work.Explore the core components of Microsoft FabricImplement, manage, and optimize Power BI semantic modelsDiscover numerous architectural solutions with Microsoft Fabric and Power BIBuild Fabric items such as lakehouses, warehouses, semantic models, and more, and share them within your organizationIdentify when to use a particular Fabric item or implement a particular design patternImplement the analytics development lifecycleOptimize and fine-tune existing analytics solutions.…
Seller Inventory # LU-9798341645875
- Title
- Analytics Engineering with Microsoft Fabric and Power BI
- Author
- Shabnam Watson, Nikola Ilic
- Publisher
- O'Reilly Media, US
- Publication year
- 2026
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798341645875
While Microsoft Power BI has dominated the business intelligence market for years and is a go-to tool for creating visually appealing, interactive reports and dashboards, it's now an integral part of Microsoft Fabric, the end-to-end analytics platform that offers unprecedented flexibility and scalability for building enterprise-grade data analytics solutions.
This book covers everything analytics engineers need to know to design and implement robust and efficient analytics solutions using Microsoft Fabric and Power BI.
- Explore the core components of Microsoft Fabric
- Implement, manage, and optimize Power BI semantic models
- Discover numerous architectural solutions with Microsoft Fabric and Power BI
- Build Fabric items such as lakehouses, warehouses, semantic models, and more, and share them within your organization
- Identify when to use a particular Fabric item or implement a particular design pattern
- Implement the analytics development lifecycle
"Synopsis" may belong to another edition of this title.
About the Author
She is passionate about helping organizations harness the power of data to drive insights and innovation. She has a deep expertise in Microsoft Analysis Services, Power BI, Azure Synapse Analytics, and Microsoft Fabric. She is also a speaker, blogger, and organizer for SQL Saturday Atlanta - BI version, where she shares her knowledge and best practices with the data community.
Nikola is an independent data platform consultant and trainer focusing on Power BI and Microsoft Fabric. Nikola has been working with data for almost two decades - started with SQL Server, then brushed himself with traditional Microsoft BI stack (SSAS, SSIS, SSRS). Since he lives in the beautiful city of Salzburg, which is well-known as the birthplace of Wolfgang Amadeus Mozart, Nikola was brave enough to use the composer’s last name as part of his nickname - and that’s why Nikola “makes music from the data”! He regularly blogs at data-mozart.com and is the author of tens of online courses and tutorials about data platform solutions. When his head is not in charts and numbers, Nikola enjoys spending time with his wife and two kids, watching football, and cooking.
"About the title" may belong to another edition of this title.
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