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Real-Time Intelligence with Microsoft Fabric (Empowering Data-Driven Decisions in the Era of AI)

List Price: $59.99
SKU:
9781098178581
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25 unit(s)
Expected release date is Jun 9th 2026
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  • Product Details

    Author:
    Johan Ludvig Brattås, Frank Geisler
    Format:
    Paperback
    Pages:
    363
    Publisher:
    O'Reilly Media (June 9, 2026)
    Imprint:
    O'Reilly Media
    Release Date:
    June 9, 2026
    Language:
    English
    ISBN-13:
    9781098178581
    ISBN-10:
    1098178580
    Weight:
    16oz
    Dimensions:
    7" x 9.19"
    File:
    TWO RIVERS-PERSEUS-Metadata_Only_Perseus_Distribution_Customer_Group_Metadata_20260408163940-20260408.xml
    Folder:
    TWO RIVERS
    List Price:
    $59.99
    Country of Origin:
    United States
    Pub Discount:
    60
    Case Pack:
    20
    As low as:
    $51.59
    Publisher Identifier:
    P-PER
    Discount Code:
    C
  • Overview

    In today's hyper-connected world, many organizations are overwhelmed by the volume of data generated every second. Making timely decisions using this information remains a challenge for many. Real-time intelligence has transformed from a luxury to a necessity for businesses striving to stay ahead in a rapidly evolving marketplace. Enter Microsoft Fabric's Real-Time Intelligence: a new tool that not only analyzes data but also acts upon the results.

    If you're ready to unlock the power of immediate insights, this comprehensive primer offers an exploration into the capabilities of Real-Time Intelligence with Microsoft Fabric. Authors Johan Ludvig Brattås and Frank Geisler explain AI-driven insights and how to use them to drive business success. Whether you're a seasoned professional or an enthusiast, this guide is the key to understanding an exciting new platform. You'll discover:

    • The core concepts of Real-Time Intelligence within Microsoft Fabric
    • Challenges that can be solved with Real-Time Intelligence, enhancing efficiency
    • Techniques for using KQL queries, including SQL knowledge to optimize these queries
    • Practical applications including data analytic solutions, event streams, and more
    • How to automatically trigger actions based on data conditions