In this article, you find a comprehensive list of end-to-end tutorials available in Microsoft Fabric. These tutorials guide you through a scenario that covers the entire process, from data acquisition to data consumption. They're designed to help you develop a foundational understanding of the Fabric UI, the various experiences supported by Fabric and their integration points, and the professional and citizen developer experiences that are available.
Multi-experience tutorials
The following table lists tutorials that span multiple Fabric experiences.
In this tutorial, you ingest, transform, and load the data of a fictional retail company, Wide World Importers, into the lakehouse and analyze sales data across various dimensions.
In this tutorial, you explore, clean, and transform a taxicab trip semantic model, and build a machine learning model to predict trip duration at scale on a large semantic model.
In this tutorial, you use the streaming and query capabilities of Real-Time Intelligence to analyze London bike share data. You learn how to stream and transform the data, run KQL queries, build a Real-Time Dashboard and a Power BI report to gain insights and respond to this real-time data.
In this tutorial, you build an end-to-end data warehouse for the fictional Wide World Importers company. You ingest data into data warehouse, transform it using T-SQL and pipelines, run queries, and build reports.
The tutorial provides a comprehensive guide to utilizing the SQL database in Fabric. This tutorial is tailored to help you navigate through the process of database creation, setting up database objects, exploring autonomous features, and combining and visualizing data. Additionally, you'll learn how to create a GraphQL endpoint, which serves as a modern approach to connecting and querying your data efficiently.
Experience-specific tutorials
The following tutorials walk you through scenarios within specific Fabric experiences.
In this tutorial, you ingest data with data pipelines and transform data with dataflows, then use the automation and notification to create a complete data integration scenario.
In this set of tutorials, learn about the different Data Science experience capabilities and examples of how ML models can address your common business problems.
In this tutorial, you learn how to use deployment pipelines together with git integration to collaborate with others in the development, testing and publication of your data and reports.
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As a Fabric analytics engineer associate, you should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
Microsoft Fabric is a unified platform that can meet your organization's data and analytics needs. Discover the Fabric shared and platform documentation from this page.
Microsoft Fabric is a unified platform that can meet your organization's data and analytics needs. Discover the capabilities Fabric has to offer, understand how it works, and how to use it.
Learn the definitions of terms used in Microsoft Fabric, including terms specific to Fabric Data Warehouse, Fabric Data Engineering, and Fabric Data Science.
Microsoft Fabric is an all-in-one analytics solution that covers everything from data movement to data science, real-time analytics, and business intelligence.