Now let’s create a workspace with a Fabric license. Select Workspaces(1) from the left navigation bar. A dialog opens.
Click + New workspace(2) found at the bottom of the pop-out menu.
Create a workspace dialog opens on the right side of the browser.
In the Name field enter FAIAD_1837968Note: The workspace name must be unique. Make sure a green check mark with “This name is available” is displayed below the Name field.
If you choose, you can enter a Description for the workspace. This is an optional field.
Click on Advanced to expand the section.
Under License mode, make sure Trial is selected. (It should be selected by default.)
Select Apply to create a new workspace.A new workspace has been created, and you will be able to navigate into this workspace. We will bring data from the different data sources into a Lakehouse and use the data from the Lakehouse to build our model and report on it. The first step is to create a Lakehouse.
class="wp-block-heading" id="task-3-create-a-lakehouse">Task 3: Create a Lakehouse
In the newly created workspace FAIAD_1837968, locate the + New item (1) button on the left-hand navigation pane. This is where you can begin creating new items in your workspace.
In the search box, type Lakehouse (2) and, from the search results, select the Lakehouse (3) option. This will enable you to create a new Lakehouse to store, query, and manage your big data.
A new lakehouse dialog will appear. Enter lh_FAIAD in the Name textbox.Note: lh here refers to Lakehouse. We are prefixing lh so that it is easy to identify and search.Note: The preview feature of Lakehouse Schemas is very interesting, so it is something you should be aware of. Since it is in Preview state, we will ignore it so there is no negative impact on the lab experience. Once the feature is generally available, we will bring it into this lab.
Select Create.Within a few moments, a Lakehouse is created, and you will be navigated to the Lakehouse interface. On the left panel, notice that below your workspace, you will have the Lakehouse icon. You can easily navigate to the Lakehouse by clicking on this icon at any time.Within the Lakehouse Explorer, you will notice Tables and Files. Lakehouse could expose Azure Data Lake Storage Gen2 files under the files section, or a dataflow could load data to Lakehouse tables. There are various options available. We are going to show you some of the options in the following labs.
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A new workspace has been created, and you will be able to navigate into this workspace. We will bring data from the different data sources into a Lakehouse and use the data from the Lakehouse to build our model and report on it. The first step is to create a Lakehouse.
Within a few moments, a Lakehouse is created, and you will be navigated to the Lakehouse interface. On the left panel, notice that below your workspace, you will have the Lakehouse icon. You can easily navigate to the Lakehouse by clicking on this icon at any time.Within the Lakehouse Explorer, you will notice Tables and Files. Lakehouse could expose Azure Data Lake Storage Gen2 files under the files section, or a dataflow could load data to Lakehouse tables. There are various options available. We are going to show you some of the options in the following labs.