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Analytics Engineering with Microsoft Fabric and Power BI (The Definitive Guide for Building Enterprise-Grade Analytics Solutions)

List Price: $59.99
SKU:
9798341645875
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25 unit(s)
Expected release date is Dec 1st 2026
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  • Product Details

    Author:
    Shabnam Watson, Nikola Ilic
    Format:
    Paperback
    Pages:
    450
    Publisher:
    O'Reilly Media (December 1, 2026)
    Imprint:
    O'Reilly Media
    Release Date:
    December 1, 2026
    Language:
    English
    ISBN-13:
    9798341645875
    Weight:
    16oz
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260330163216-20260330.xml
    Folder:
    TWO RIVERS
    List Price:
    $59.99
    Country of Origin:
    United States
    Pub Discount:
    60
    Case Pack:
    18
    As low as:
    $51.59
    Publisher Identifier:
    P-PER
    Discount Code:
    C
  • Overview

    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 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