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Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence
A step-by-step guide to harness the power of Microsoft Fabric in developing data analytics solutions for various use cases
Key FeaturesExplore Microsoft Fabric and its features with real-world examplesBuild data analytic solutions for lakehouse, data warehouse, real-time analytics, and data scienceMonitor, manage, and administer your Fabric platform and analytics system for flexibility, performance, security, and controlBook DescriptionMicrosoft Fabric is the first and only service/product in the market to offer a unified and comprehensive solution designed for the AI era. It seamlessly brings together data integration, OneLake, transformation, visualization, universal security, and a unified business model.
Learn Microsoft Fabric provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. You'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll then learn to build end-to-end lakehouse and data warehouse solutions using the medallion architecture. You’ll unlock the potential of real-time analytics and implement machine learning and AI models. As you move ahead, you’ll learn how to monitor workloads, and administer Fabric across tenants, capacities, and workspaces. You’ll enhance security and governance practices in Microsoft Fabric. You’ll implement CI/CD workflows with Azure DevOps or GitHub. In the end, 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 essential concepts and principles of Microsoft Fabric.
What you will learnExplore Microsoft Fabric and the different services it providesBuild end-to-end data analytics solution to scale and manage high performanceIntegrate data from different types of data sourcesApply transformation with Spark, Notebook, and T-SQLUnderstand, learn, and implement real-time stream processing and data science capabilitiesPerform end-to-end processes for building data analytics solutions in the AI eraDrive insights by leveraging Power BI for reporting and visualizationImprove productivity with AI assistance and Copilot integrationWho This Book Is ForThis book is intended for data professionals, such as data analysts, data engineers, data scientists, data warehouse developers, ETL developers, business analysts, AI/ML professionals, software developers, and Chief Data Officers, who want to build a future-ready data analytics solution for the era of AI in driving their organization for long-term success. For PySpark and SQL students getting into the data analytics domain, the book offers a broad foundation to develop skills to build end-to-end analytics systems for different use cases. Basic knowledge of SQL and Spark is presumed.
Table of ContentsOverview of Microsoft Fabric and Understanding Different ConceptsUnderstanding Different Workloads in Microsoft Fabric and Getting StartedLakehouse (Medallion Architecture) and Data MeshData WarehouseReal-time Analytics CapabilitiesExploring Data Science CapabilitiesMonitoring overview and monitoring different workloadsAdministering Fabric<
Key FeaturesExplore Microsoft Fabric and its features with real-world examplesBuild data analytic solutions for lakehouse, data warehouse, real-time analytics, and data scienceMonitor, manage, and administer your Fabric platform and analytics system for flexibility, performance, security, and controlBook DescriptionMicrosoft Fabric is the first and only service/product in the market to offer a unified and comprehensive solution designed for the AI era. It seamlessly brings together data integration, OneLake, transformation, visualization, universal security, and a unified business model.
Learn Microsoft Fabric provides an overview of Microsoft Fabric, its components, and the wider analytics landscape. You'll explore workloads such as Data Factory, Synapse Data Engineering, data science, data warehouse, real-time analytics, and Power BI. You’ll then learn to build end-to-end lakehouse and data warehouse solutions using the medallion architecture. You’ll unlock the potential of real-time analytics and implement machine learning and AI models. As you move ahead, you’ll learn how to monitor workloads, and administer Fabric across tenants, capacities, and workspaces. You’ll enhance security and governance practices in Microsoft Fabric. You’ll implement CI/CD workflows with Azure DevOps or GitHub. In the end, 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 essential concepts and principles of Microsoft Fabric.
What you will learnExplore Microsoft Fabric and the different services it providesBuild end-to-end data analytics solution to scale and manage high performanceIntegrate data from different types of data sourcesApply transformation with Spark, Notebook, and T-SQLUnderstand, learn, and implement real-time stream processing and data science capabilitiesPerform end-to-end processes for building data analytics solutions in the AI eraDrive insights by leveraging Power BI for reporting and visualizationImprove productivity with AI assistance and Copilot integrationWho This Book Is ForThis book is intended for data professionals, such as data analysts, data engineers, data scientists, data warehouse developers, ETL developers, business analysts, AI/ML professionals, software developers, and Chief Data Officers, who want to build a future-ready data analytics solution for the era of AI in driving their organization for long-term success. For PySpark and SQL students getting into the data analytics domain, the book offers a broad foundation to develop skills to build end-to-end analytics systems for different use cases. Basic knowledge of SQL and Spark is presumed.
Table of ContentsOverview of Microsoft Fabric and Understanding Different ConceptsUnderstanding Different Workloads in Microsoft Fabric and Getting StartedLakehouse (Medallion Architecture) and Data MeshData WarehouseReal-time Analytics CapabilitiesExploring Data Science CapabilitiesMonitoring overview and monitoring different workloadsAdministering Fabric<
509 pages, Kindle Edition
Published February 29, 2024
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