Название: Analytics Engineering with Microsoft Fabric and Power BI: The Definitive Guide for Building Enterprise-Grade Analytics Solutions (Final Release)
Автор: Shabnam Watson, Nikola Ilic
Издательство: O’Reilly Media, Inc.
Год: 2027
Страниц: 470
Язык: английский
Формат: epub
Размер: 23.4 MB

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.

The Lakehouse exposes two complementary experiences over the same underlying data. When you need to process large volumes of data or work with semi-structured formats, you use the Lakehouse experience with Spark. When you need to run quick T-SQL queries or connect BI tools, you use the SQL analytics endpoint that Fabric generates automatically. Both surfaces read from the same Delta tables, so there is no data duplication and no synchronization to manage.

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
Optimize and fine-tune existing analytics solutions

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