On the Home page while viewing the contents of the products folder in your datalake, in the Open notebook menu, select New notebook.Īfter a few seconds, a new notebook containing a single cell will open. In the … menu for the products folder, select Upload and Upload files, and then upload the products.csv file from your local computer (or lab VM if applicable) to the lakehouse.Īfter the file has been uploaded, select the products folder and verify that the products.csv file has been uploaded, as shown here:.Return to the web browser tab containing your lakehouse, and in the … menu for the Files folder in the Explorer pane, select New subfolder and create a folder named products. There are multiple ways to do this, but in this exercise you’ll simply download a text file to your local computer (or lab VM if applicable) and then upload it to your lakehouse.ĭownload the data file for this exercise from, saving it as products.csv on your local computer (or lab VM if applicable). You need to ingest some data into the data lakehouse for analysis. In the Synapse Data Engineering home page, create a new Lakehouse with a name of your choice.Īfter a minute or so, a new empty lakehouse. Now that you have a workspace, it’s time to switch to the Data engineering experience in the portal and create a data lakehouse for the data you’re going to analyze.Īt the bottom left of the Power BI portal, select the Power BI icon and switch to the Data Engineering experience. When your new workspace opens, it should be empty, as shown here: Create a new workspace with a name of your choice, selecting a licensing mode that includes Fabric capacity ( Trial, Premium, or Fabric).In the menu bar on the left, select Workspaces (the icon looks similar to □).Sign into Microsoft Fabric at and select Power BI.Create a workspaceīefore working with data in Fabric, create a workspace with the Fabric trial enabled. If you don’t have one, you can sign up for a trial of Microsoft Office 365 E3 or higher. You will need a Microsoft school or work account to do this. See Getting started with Fabric for details of how to enable a free Fabric trial license. Note: You’ll need a Microsoft Fabric license to complete this exercise. This exercise should take approximately 40 minutes to complete Delta Lake adds support for relational semantics for both batch and streaming data operations, and enables the creation of a Lakehouse architecture in which Apache Spark can be used to process and query data in tables that are based on underlying files in a data lake. Tables in a Microsoft Fabric lakehouse are based on the open source Delta Lake format for Apache Spark.
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