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Create a lakehouse in Microsoft Fabric
Learn how to create a lakehouse from the Data Engineering homepage, the Workspace view, or the Create page.
snehagunda
avinandac
avinandaMS
how-to
build-2023
build-2023-dataai
build-2023-fabric
ignite-2023
05/13/2024
Create lakehouse

Create a lakehouse in Microsoft Fabric

In this tutorial, you learn different ways to create a Lakehouse in [!INCLUDE product-name].

Create a lakehouse

The lakehouse creation process is quick and simple; there are several ways to get started.

Ways to create a lakehouse

There are a few ways you can get started with the creation process:

  1. Data Engineering homepage

    • You can easily create a lakehouse through the Lakehouse card under the New section in the homepage.

    :::image type="content" source="media\create-lakehouse\lakehouse-card-inline.png" alt-text="Screenshot showing the lakehouse card." lightbox="media\create-lakehouse\lakehouse-card.png":::

  2. Workspace view

    • You can also create a lakehouse through the workspace view in Data Engineering by using the New dropdown menu.

    :::image type="content" source="media\create-lakehouse\new-lakehouse-menu.png" alt-text="Screenshot showing the Lakehouse option in the New menu.":::

  3. Create page

    • An entry point to create a lakehouse is available in the Create page under Data Engineering.

    :::image type="content" source="media\create-lakehouse\lakehouse-create-hub.png" alt-text="Screenshot showing the Lakehouse option in the Data Engineering Create page.":::

Creating a lakehouse from the Data Engineering homepage

  1. Browse to the Data Engineering homepage.

  2. Under the New section, locate the Lakehouse card and select it to get started with the creation process

  3. Enter a name for the lakehouse and a sensitivity label if your organization requires one, and select Create.

  4. Once the lakehouse is created, you land on the Lakehouse Editor page where you can get started and load data.

Note

The lakehouse will be created under the current workspace you are in.

Delete a lakehouse

To delete a lakehouse, navigate to OneLake data hub and find your lakehouse. select the ... next to the lakehouse name and select Delete. The lakehouse and its associated SQL analytics endpoint and semantic model are deleted.

Note

  • A lakehouse can't be deleted if it's referenced elsewhere, for example, in a pipeline or within a real time analytics workflow.
  • There is no way to restore a lakehouse after it's deleted.

Related content

Now that you have successfully created your Lakehouse, learn more about: