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Explore the capabilities of Microsoft Fabric, the latest advancement in cloud analytics suites. This guide helps users leverage a Microsoft Office-like experience for data management and advanced analytics. It begins with an overview of the evolution from on-premises to cloud infrastructures, including IaaS, PaaS, and SaaS, before introducing Microsoft Fabric. You'll learn how to provision Fabric in your tenant and understand the key features of SaaS analytics products, highlighting its advantages for enterprise analytics. The book covers OneLake and Lakehouse for data engineering, as well as OneLake for data science. Author Ghosh explains the data warehouse offerings within Microsoft Fabric and presents a new data integration experience that combines Azure Data Factory with Power Query Editor in Power BI. Real-Time Analytics capabilities, including Kusto query and database functionalities, are also demonstrated. You'll discover how the new event stream feature integrates with OneLake and other computations, and learn to configure real-time alerts without coding. The Power BI experience in the Fabric workspace and details on pricing and licensing are included. After reading, you will grasp Microsoft Fabric's capabilities and its integration with current and future Azure OpenAI features. This resource is ideal for citizen users and experts in data engineering and data science, as well as chief AI officers.
Achat du livre
Mastering Microsoft Fabric, Debananda Ghosh
- Langue
- Année de publication
- 2024
- Reliure
- (souple)
Modes de paiement
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- Titre
- Mastering Microsoft Fabric
- Sous-titre
- SAASification of Analytics
- Langue
- Anglais
- Auteurs
- Debananda Ghosh
- Éditeur
- Apress
- Publié
- 2024
- Format
- souple
- Pages
- 372
- ISBN13
- 9798868801303
- Séries
- Mots clés
- Informatique & Internet, Microsoft, Microsoft Office
- Description
- Explore the capabilities of Microsoft Fabric, the latest advancement in cloud analytics suites. This guide helps users leverage a Microsoft Office-like experience for data management and advanced analytics. It begins with an overview of the evolution from on-premises to cloud infrastructures, including IaaS, PaaS, and SaaS, before introducing Microsoft Fabric. You'll learn how to provision Fabric in your tenant and understand the key features of SaaS analytics products, highlighting its advantages for enterprise analytics. The book covers OneLake and Lakehouse for data engineering, as well as OneLake for data science. Author Ghosh explains the data warehouse offerings within Microsoft Fabric and presents a new data integration experience that combines Azure Data Factory with Power Query Editor in Power BI. Real-Time Analytics capabilities, including Kusto query and database functionalities, are also demonstrated. You'll discover how the new event stream feature integrates with OneLake and other computations, and learn to configure real-time alerts without coding. The Power BI experience in the Fabric workspace and details on pricing and licensing are included. After reading, you will grasp Microsoft Fabric's capabilities and its integration with current and future Azure OpenAI features. This resource is ideal for citizen users and experts in data engineering and data science, as well as chief AI officers.