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Prepare for the tutorial by uploading the sample data to a lakehouse in your Fabric workspace. Then, create a digital twin builder (preview) item in that workspace.
Important
This feature is in preview.
Upload sample data to a lakehouse
Download all the .csv files from the sample folder in GitHub: digital-twin-builder/contoso-energy.
Go to Microsoft Fabric and open your workspace.
Select + New item:
Scroll down or search for Lakehouse and select that item. Name your lakehouse GettingStartedRawData and select Create. Your lakehouse opens when it's done.
In the Explorer pane on the left, select ... next to Files. Select Upload and Upload Files.
Select the sample data files you downloaded and then select Upload. When the files are finished uploading, close the Upload files pane.
In the Explorer pane on the left, select Files to see the files populated in the lakehouse. For each of the files, do the following actions:
Hover over the file name and select .... From that menu, select Load to Tables and New table.
In the new table settings that appear, leave the default settings. Select Load.
Wait for the table to finish loading before you start the next table.
You should now see five tables in the Explorer pane of your lakehouse, under Tables. Open them to verify that they contain data.
You now have sample data available in your GettingStartedRawData lakehouse. You use the data in this lakehouse throughout this tutorial.
Create new digital twin builder item in Fabric
Note
Recall from the tutorial prerequisites that digital twin builder (preview) must be enabled on your Fabric tenant.
Navigate to your Fabric workspace.
Select New item.
Search for the Digital Twin Builder (preview) item, and select it.
Name your item Contoso_Energy and select Create.
Tip
Digital twin builder names can include numbers, letters, and underscores (no spaces or dashes).
Wait for your digital twin builder item to be created. Once your digital twin builder item is ready, it opens to the semantic canvas.
In the semantic canvas, you define a ___domain ontology in the next tutorial section.