BOOKS - Learn Microsoft Fabric: A practical guide to performing data analytics in the...
US $9.95
170639
170639
Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence
Author: Arshad Ali
Year: February 29, 2024
Format: PDF
File size: PDF 36 MB
Language: English
Year: February 29, 2024
Format: PDF
File size: PDF 36 MB
Language: English
A step-by-step guide to harness the power of Microsoft Fabric in developing data analytics solutions for various use cases 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. 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.