Learn Microsoft Fabric: a practical guide to perform 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 Features

• Explore Microsoft Fabric and its features with real-world examples
• Build data analytic solutions for lakehouse, data warehouse, real-time analytics, and data science
• Monitor, manage, and administer your Fabric platform and analytics system for flexibility, performance, security, and control

Book Description

Microsoft 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 learn

• Explore Microsoft Fabric and the different services it provides
• Build end-to-end data analytics solution to scale and manage high performance
• Integrate data from different types of data sources
• Apply transformation with Spark, Notebook, and T-SQL
• Understand, learn, and implement real-time stream processing and data science capabilities
• Perform end-to-end processes for building data analytics solutions in the AI era
• Drive insights by leveraging Power BI for reporting and visualization
• Improve productivity with AI assistance and Copilot integration

Who this book is for

This 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.

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