The first step is to create the parameter under Power Query Editor window (this parameter is different from What IF parameters in Power BI Desktop) Create the parameter for the database name but after publishing it, I want the report to be plugged into the AdventureWorksDW2017BIG database and get data from there. I build my report on the AdventureWorksDW2012 which is much smaller (or you might do it on your DEV database server to make the process of development faster). I have a similar database to this one under the same server, but with a different name, which has a FactInternetSales table under it, but much bigger version of it: I have select FactInternetSales from this database, and showed the count of rows from this table in a visual in Power BI report: I have a Power BI report reading data from a SQL Server database called AdventureWorksDW2012. The process below is explained on a database source, but the same process can be used for ANY types of data sources with slight modifications. To avoid these extra steps, you can use Parameters. but that means you need to open the file in Power BI Desktop, change the value, save and re-publish it into the service. You can do these with changing values in Power Query Editor window. So all you need to do is just change part of the source connection (the database name, or the file name, or folder path, or the API URL etc). However, the new data source is exactly similar to the old one in terms of structure. You created your Power BI report, and then published the file to the service, and now you want to change the data source of the same type. That data source can be anything (a SQL Server or Oracle database, a folder, a file, a web API address or etc). You have connected to a data source using Power BI. Let’s in this article focus on one of the challenges that can be easily resolved with parameters. One of the most common examples of using parameters is to use it for creating custom functions. Parameters in Power Query can be used in many different scenarios. Parameters can be used to change values without opening the Power Query (Transform Data) window in the Power BI Desktop, and they are helpful even in the Power BI Service in a way that you can change values manually without the need to open PBIX file in the Desktop and re-publish it. Parameters in Power Query are a useful way to change values dynamically in your Get Data and Transform process. To learn more about Power BI, read Power BI book from Rookie to Rock Star. In this article, I am showing you another useful way of using Parameters to create dynamic datasets, that you can change the source, or anything else using it instead of opening your Power BI file each time, and republish. I have previously explained how helpful they are in creating a custom function. A topic for a future post.Parameters in Power Query are useful for many scenarios when you want to do something dynamic in the data transformation process. Instead of doing a simple copy the data can be read, combined and stored in many different forms. The real power however lies in the transformation steps which you can add. In this scenario I’ve demonstrated how to get started with Azure Data Factory. You can find more info on the pricing on their website. If we modified everything to run hourly we’d have to pay €554,80 per month. So that would mean almost €14 for this daily snapshot each month. The pricing of an on-premise activity is €0.5586 per activity. I’ve asked around if this assumption is correct but don’t have a response yet. I’m assuming here it’s an on-premise activity since the files are not located in Azure. The pricing of an activity is determined on the place where it occurs, on-premise or in the cloud. The first 5 are free, so we have 25 activities remaining. First we have a low frequency activity, that’s an activity that runs daily or less. The price of the current setup is determined by a couple of things. If you think this is a nice feature, go vote here! It’s only possible to use the partitionedBy section in the folder structure as shown above.
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