8/18/2023 0 Comments Edge pipeline app![]() This will allow us to easily access the total sales amount by month in the future. We’ll then save this statement as a view in our lakehouse. Let’s write a SQL statement that calculates the total sales amount by month. ![]() Total Sales Amount = SUM(FactOnlineSales) In the formula editor, copy and paste or type the following measure to calculate the total sales amount. ![]() Select the FactOnlineSales table in the Tables folder. Let's write a basic measure that calculates the total sales amount by due date on the sales order instead of the default order date. The following image shows a finished view of the semantic model with all the created relationships included. Perform these same steps for each of the remaining tables and columns listed in the following table to create relationships. Once in the Create Relationship window ensure that you have selected the correct tables, columns and settings as showing in the following table. Once in the Explorer, select the Model view at the bottom of the screen to begin creating relationships.Ĭreate a relationship by dragging and dropping the column CustomerKey from the FactOnlineSales table, to the CustomerKey on the DimCustomer table. In the workspace view, select the SQL Endpoint item named SalesLakehouse. The surrounding tables are called Dimension tables, which are related to the Fact table with relationships. This model is a star schema that you might see from data warehouses: It resembles a star. It's designed to present data for analysis according to the structure of the business. This allows us to easily access our data within a semantic model, which is a metadata model that contains physical database objects that are abstracted and modified into logical dimensions. ![]() Let’s first use the SQL endpoint to create relationships and SQL views in our lakehouse. The data you loaded is almost ready for reporting. When the status returns Succeeded, you can proceed to the next section of the tutorial by returning to your workspace. The table will periodically refresh on its own, or you can manually select the refresh icon to update it. To monitor the pipeline’s current status, you can view the Output table, which displays the current activity progress. If a dialog window is displayed select the Save and run option to continue. Once you have updated the following configurations, select Apply to save your changes. This activity will now be invoked if the OnlineSalesActivity fails.įrom the Home tab, select Schedule. Select OnlineSalesActivity and from the available path options, select and hold the "X" (On fail) to create an arrow that will be dropped on the Mail on failure activity. Select Functions and insert the following function by selecting the corresponding name from the following table. Select System variables and insert the following variables by selecting the corresponding name from the following table. In the Pipeline expression builder, paste the following expression code block: ' More e-mail configuration options such as From (Send as), Cc, Bcc, Sensitivity label and more are available from Advanced properties. Set the Update method to Append and then select Save settings. Select SalesLakehouse and confirm that the default New table is selected before selecting Next to continue. If necessary, set the authentication to Organizational account and then select Next.įrom the navigator, select the workspace used for this tutorial and expand to view all Lakehouse items. Select the FactOnlineSales query under the Data transformation query group and from the Home tab, select Add data destination and then select the Lakehouse option. In the bottom right corner of the Power Query Online editor, you can find the configured Data destination settings for your query where you can further customize or remove.īefore moving on to the next section of this tutorial, make sure to perform the same steps as you took earlier in this section to configure the Lakehouse as your data destination for each of the following queries. Setting the update method to Replace deletes all existing data and replaces it with the new data on each subsequent refresh.
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