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Prepare your system for data science tutorials

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Before you begin the data science end-to-end tutorial series, learn about prerequisites, how to import notebooks, and how to attach a lakehouse to those notebooks.

Prerequisites

Import tutorial notebooks

We utilize the notebook item in the Data Science experience to demonstrate various Fabric capabilities. The notebooks are available as Jupyter notebook files that can be imported to your Fabric-enabled workspace.

  1. Download your notebook(s). Make sure to download the files by using the "Raw" file link in GitHub.

    • For the Get started notebooks, download the notebook(.ipynb) files from the parent folder: data-science-tutorial.
    • For the Tutorials notebooks, download the notebooks(.ipynb) files from the parent folder ai-samples.

  2. On the Data science experience homepage, select Import notebook and upload the notebook files that you downloaded in step 1.

    Screenshot showing where to select Import notebook on the Data science home page.

    Screenshot of Import status dialog box, showing where to select Upload.

  3. Once the notebooks are imported, select Go to workspace in the import dialog box.

    Screenshot of the import success dialog box, showing where to select Go to workspace.

  4. The imported notebooks are now available in your workspace for use.

  5. If the imported notebook includes output, select the Edit menu, then select Clear all outputs.

    Screenshot shows the edit menu option to clear all outputs.

Attach a lakehouse to the notebooks

To demonstrate Fabric lakehouse features, many of the tutorials require attaching a default lakehouse to the notebooks. The following steps show how to add a lakehouse to a notebook in a Fabric-enabled workspace.

Note

Before executing each notebooks, you need to perform these steps on that notebook.

  1. Open the notebook in the workspace.

  2. Select Add lakehouse in the left pane.

    Diagram of the process steps to attach a lakehouse to a notebook.

  3. Create a new lakehouse or use an existing lakehouse.

    1. To create a new lakehouse, select New. Give the lakehouse a name and select Create.
    2. To use an existing lakehouse, select Existing lakehouse to open the Data hub dialog box. Select the lakehouse you want to use and then select Add.

  4. Once a lakehouse is added, it's visible in the lakehouse pane and you can view tables and files stored in the lakehouse.

Next step

Part 1: Ingest data into Fabric lakehouse using Apache Spark