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Digital twin builder (preview) in Real-Time Intelligence tutorial part 1: Upload contextual data

In this part of the tutorial, you set up the sample data lakehouse and upload the static sample data: a CSV file of bus stop data that provides contextual information about stop locations.

Create a lakehouse

  1. Browse to the workspace in which you want to create your tutorial resources. You must create all resources in the same workspace.
  2. Select + New item.
  3. In the Filter by item type search box, enter Lakehouse.
  4. Select the lakehouse item.
  5. Enter Tutorial as the lakehouse name.
  6. Select Create. When provisioning is complete, the lakehouse explorer page is shown.

Upload static contextual data

In this section, you upload a static file of bus stop data to the Tutorial lakehouse. The information in this file provides context about the locations of the bus stops along the bus routes.

  1. Download the stops_data.csv sample data file from the sample folder in GitHub: digital-twin-builder/bus-scenario.

  2. In the lakehouse explorer page in Fabric, select Get data from the menu ribbon and choose Upload files.

    Screenshot of getting a local file for the Tutorial lakehouse.

  3. Select the sample data file you downloaded and then select Upload. When the file is finished uploading, close the Upload files pane.

  4. In the Explorer pane on the left, select Files. Hover over the file name and select the ... that appears. Then select Load to Tables and New table.

    Screenshot of Microsoft Fabric, selecting the Load to Tables option.

  5. Name the table stops_data. Leave the other default settings and select Load.

  6. When the table is created, review your new stops_data table and verify that it contains data.

    Screenshot of the stops_data table with data.

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