End-to-end tutorials in Microsoft Fabric
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.
Microsoft Fabric is currently in PREVIEW. This information relates to a prerelease product that may be substantially modified before it's released. Microsoft makes no warranties, expressed or implied, with respect to the information provided here.
The following table lists tutorials that span multiple Fabric experiences.
|Lakehouse||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.|
|Data Science||In this tutorial, you explore, clean, and transform a taxicab trip dataset, and build a machine learning model to predict trip duration at scale on a large dataset.|
|Real-Time Analytics||In this tutorial, you use the streaming and query capabilities of Real-Time Analytics to analyze the New York Yellow Taxi trip dataset. You uncover essential insights into trip statistics, taxi demand across the boroughs of New York, and other related insights.|
|Data warehouse||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 following tutorials walk you through scenarios within specific Fabric experiences.
|Power BI||In this tutorial, you build a dataflow and pipeline to bring data into a lakehouse, create a dimensional model, and generate a compelling report.|
|Data Factory||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.|
|Data Science end-to-end AI samples||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.|
|Data Science - Price prediction with R||In this tutorial, you build a machine learning model to analyze and visualize the avocado prices in the US and predict future prices.|
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