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Learn Microsoft Fabric

Learn Microsoft Fabric

By : Arshad Ali, Bradley Schacht
4.2 (18)
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Learn Microsoft Fabric

Learn Microsoft Fabric

4.2 (18)
By: Arshad Ali, Bradley Schacht

Overview of this book

Discover the capabilities of Microsoft Fabric, the premier unified solution designed for the AI era, seamlessly combining data integration, OneLake, transformation, visualization, universal security, and a unified business model. This book provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. In this book, you'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll learn how to build end-to-end lakehouse and data warehouse solutions using the medallion architecture, unlock the real-time analytics, and implement machine learning and AI models. As you progress, you’ll build expertise in monitoring workloads and administering Fabric across tenants, capacities, and workspaces. The book also guides you step by step through enhancing security and governance practices in Microsoft Fabric and implementing CI/CD workflows with Azure DevOps or GitHub. Finally, you’ll discover the power of Copilot, an AI-driven assistant that accelerates your analytics journey. By the end of this book, you’ll have unlocked the full potential of AI-driven data analytics, gaining a comprehensive understanding of the analytics landscape and mastery over the essential concepts and principles of Microsoft Fabric.
Table of Contents (19 chapters)
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1
Part 1: An Introduction to Microsoft Fabric
4
Part 2: Building End-to-End Analytics Systems
9
Part 3: Administration and Monitoring
12
Part 4: Security and Developer Experience
15
Part 5: AI Assistance with Copilot Integration

Summary

The importance of real-time data cannot be overstated. It can mean a more reliable business function, a competitive edge, or an experience not previously possible. Fabric’s Real-Time Analytics enables organizations to collect data from sources such as IoT devices and telemetry through eventstreams or land large datasets using tools such as Data Factory.

The RTA experience is the perfect solution for analyzing billions or even trillions of records in seconds. With seamless integration to expose data in OneLake, you can take the same data from a KQL database and consume it through shortcuts in a lakehouse to create new data products and extend the analytics using Spark.

In this chapter, you learned how to create an end-to-end real-time analytics solution. You learned how to create a KQL database, use an eventstream to load real-time stock ticker data into the database, use the Kusto Query Language to explore and analyze the data, and use this data stream in a Power...

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Learn Microsoft Fabric
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