Prepare your system for data science tutorials

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

• Get a Microsoft Fabric subscription. Or, sign up for a free Microsoft Fabric trial.

• Sign in to Microsoft Fabric.

• Use the experience switcher on the bottom left side of your home page to switch to Fabric.

  

• If you don't have a Microsoft Fabric lakehouse, create one by following the steps in Create a lakehouse in Microsoft Fabric.

Create a notebook

Each tutorial is available as a Jupyter notebook file in GitHub. Many of the tutorials are also available as samples in the Data Science workload. Use one of the following methods to access the tutorials:

• Create a new notebook, then copy and paste the code from the tutorial.

• Open the sample notebook (when available) in the Data Science workload:

  1. From the left pane, select Workloads.

  2. Select Data Science.

  3. From the Explore a sample card, select Select.

  4. Select the corresponding sample:

     • From the default End-to-end workflows (Python) tab, if the sample is for a Python tutorial.
     • From the End-to-end workflows (R) tab, if the sample is for an R tutorial.
     • From the Quick tutorials tab, if the sample is for a quick tutorial.

• Import the notebook from GitHub to your 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 left navigation for the Fabric homepage, select your workspace.

  3. Select Import > Notebook > From this computer.

     

  4. Select Upload and select the downloaded notebook file.

     

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

     

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

  7. If the imported notebook includes output, select the Edit menu, then select 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 notebook, you need to perform these steps on that notebook.

1. Open the notebook in the workspace.

2. Select Add lakehouse in the left pane.

   

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