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  • Book Overview & Buying Learn Microsoft Fabric
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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

As lakehouse implementations grow in popularity, data warehouses still play a key role in data-driven organizations. Many of the patterns that were explored in the prior lakehouse chapter can also be applied to a data warehouse. The major difference comes in the developer skillset. Lakehouses are Spark-centric, while data warehouses are T-SQL-centric. For the foreseeable future, these two items will live and work in tandem. Fabric provides a seamless experience to combine lakehouses and warehouses through OneCopy, cross-database querying, and standardizing on the Delta format.

In this chapter, you learned how to build out an end-to-end data warehouse analytics system. You learned how to create a data warehouse and a code-first and no-code approach for loading warehouse tables, how to transform data using T-SQL, and how to curate a data model that can then be used in a Power BI report. These are by no means the full extent of the data warehouse functionality but instead represent...

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Learn Microsoft Fabric
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