![]() ![]() You have options to create reports either from scratch, paginated report, or let Power BI automatically create a report based on your data. This dataset is automatically created and has the same name as the lakehouse.įrom the dataset pane, you can view all the tables. ![]() ![]() In the item view of the workspace, select the wwilakehouse default dataset. To run the script, select the Run icon at the top of the script file. SQL query files are saved automatically for future reference, and you can rename or delete these files based on your need. The following sample query aggregates the row count based on the BuyingGroup column of the dimension_customer table. In warehouse mode, select the dimension_customer table to preview its data or select New SQL query to write your SQL statements. Select SQL endpoint under Lake mode at the top right of the screen. You can also use the SQL endpoint of the lakehouse to query the data with SQL statements in the warehouse mode. Once the dataflow is refreshed, go to the lakehouse to view the dimension_customer delta table. While it's in progress, you see a spinning circle under Refreshed column in the item view. It runs the dataflow and moves data from the source file to lakehouse table. Select the Refresh now option next to data flow name to refresh the dataflow. Rename the dataflow to Load Lakehouse Table and select Save. To proceed, select Publish at the bottom right of the screen.Ī spinning circle next to the dataflow's name indicates publishing is in progress in the item view. For simplicity, we aren't making any changes in this tutorial. Select Save Settings to return to the dataflow canvas.įrom the dataflow canvas, you can easily transform the data based on your business requirements. On the Choose destination settings pane, select Replace as Update method. Please rename it appropriately and remove any spaces from the table name. Table names must be lower case and must not contain spaces. Select Next.įabric adds a space and number at the end of the table name by default. If the table already exists, select the Existing table setting and choose dimension_customer from the list of tables in the object explorer. If the dimension_customer table doesn't exist, select the New table setting and enter the table name dimension_customer. Navigate to the wwilakehouse in your workspace. If needed, from the Connect to data destination screen, sign into your account. From the menu items, select Add data destination and select Lakehouse. In the Query settings pane, enter dimension_customer for the Name field. After the file is uploaded, select Next.įrom the Preview file data page, preview the data and select Create to proceed and return back to the dataflow canvas. Drag and drop the dimension_customer.csv file that you downloaded in step 1. On the Connect to data source pane, select the Upload file radio button. On the new dataflow pane, select Import from a Text/CSV file. In the Lakehouse explorer, you see options to load data into lakehouse. If you don't have OneDrive configured, sign up for the Microsoft 365 free trial: Free Trial - Try Microsoft 365 for a month.ĭownload the dimension_customer.csv file from the Fabric samples repo. Select Create to create and open the new lakehouse. In the New lakehouse dialog box, enter wwilakehouse in the Name field. In the Data Engineering tab, select Lakehouse to create a lakehouse. To open your workspace, enter its name in the search textbox located at the top and select it from the search results.įrom the experience switcher located at the bottom left, select Data Engineering. In the Power BI service, select Workspaces from the left-hand menu. If you don't have OneDrive configured, sign up for the Microsoft 365 free trial: Free Trial - Try Microsoft 365 for a month. In this article, you'll follow steps to ingest a CSV file, which requires you to have OneDrive configured.Microsoft makes no warranties, expressed or implied, with respect to the information provided here. This information relates to a prerelease product that may be substantially modified before it's released. Microsoft Fabric is currently in PREVIEW. ![]()
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