SAASification of Analytics Ghosh, Debananda. creator author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text xxu 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XII, 360 p. 315 illus. online resource. Learn and explore the capabilities of Microsoft Fabric, the latest evolution in cloud analytics suites. This book will help you understand how users can leverage Microsoft Office equivalent experience for performing data management and advanced analytics activity. The book starts with an overview of the analytics evolution from on premises to cloud infrastructure as a service (IaaS), platform as a service (PaaS), and now software as a service (SaaS version) and provides an introduction to Microsoft Fabric. You will learn how to provision Microsoft Fabric in your tenant along with the key capabilities of SaaS analytics products and the advantage of using Fabric in the enterprise analytics platform. OneLake and Lakehouse for data engineering is discussed as well as OneLake for data science. Author Ghosh teaches you about data warehouse offerings inside Microsoft Fabric and the new data integration experience which brings Azure Data Factory and Power Query Editor of Power BI together ina single platform. Also demonstrated is Real-Time Analytics in Fabric, including capabilities such as Kusto query and database. You will understand how the new event stream feature integrates with OneLake and other computations. You also will know how to configure the real-time alert capability in a zero code manner and go through the Power BI experience in the Fabric workspace. Fabric pricing and its licensing is also covered. After reading this book, you will understand the capabilities of Microsoft Fabric and its Integration with current and upcoming Azure OpenAI capabilities. What You Will Learn Build OneLake for all data like OneDrive for Microsoft Office Leverage shortcuts for cross-cloud data virtualization in Azure and AWS Understand upcoming OpenAI integration Discover new event streaming and Kusto query inside Fabric real-time analytics Utilize seamless tooling for machine learning and data science. Chapter 1: Evolution of Analytics -- Chapter 2: Microsoft Fabric: SaaSification of Analytics -- Chapter 3: OneLake and Lakehouse for Data Engineers -- Chapter 4: Microsoft Fabric for Data Scientists -- Chapter 5: Data Warehousing in Microsoft Fabric -- Chapter 6: Data Integration for Office Users in Microsoft Fabric -- Chapter 7: Real-Time Analytics with Mi8crosoft Fabric -- Chapter 8: Microsoft Fabric Activator: Real-time Monitoring and Alerts -- Chapter 9: Power BI in the Microsoft Fabric Workspace -- Chapter 10: Microsoft Fabric: Inside and Out. o. by Debananda Ghosh. Microsoft software Microsoft .NET Framework Microsoft QA76.76.M52 9798868801310 https://doi.org/10.1007/979-8-8688-0131-0 https://doi.org/10.1007/979-8-8688-0131-0 240221 20251030111437.0 979-8-8688-0131-0