Power BI is a powerful data visualization tool used by businesses and organizations to gain insights from their data. One of the features of Power BI is the ability to connect to different data sources, including the Azure DevOps Server. By connecting to the Azure DevOps Server data source, organizations can get insights into their software development processes and track the progress of their projects.
In this article, we’ll explore how to connect to the Azure DevOps Server data source from inside Power BI using Power Query M Language code. We’ll walk through the process step-by-step and provide detailed explanations to help you get started.
Step 1: Install the Azure DevOps Server Connector for Power BI
Before you can connect to the Azure DevOps Server data source, you’ll need to install the Azure DevOps Server Connector for Power BI. This connector enables Power BI to communicate with Azure DevOps Server and retrieve data.
To install the connector, open Power BI and click on the “Get Data” button in the Home tab. Search for “Azure DevOps Server” in the search bar and click on the “Azure DevOps Server” option. This will launch the “Azure DevOps Server Connector for Power BI” installation page. Follow the instructions on the page to complete the installation.
Step 2: Connect to the Azure DevOps Server Data Source
Once you’ve installed the connector, you can connect to the Azure DevOps Server data source from inside Power BI. To do this, click on the “Get Data” button in the Home tab again and select “Azure DevOps Server” from the list of available data sources.
This will open the “Azure DevOps Server Connector” dialog box. Here, you’ll need to enter the URL of your Azure DevOps Server instance, as well as your username and password. Click on the “Connect” button to establish the connection.
Step 3: Load the Data into Power BI
Once you’ve established the connection to the Azure DevOps Server data source, you can load the data into Power BI. To do this, select the data you want to retrieve from the available options and click on the “Load” button.
Alternatively, you can choose to transform the data before loading it into Power BI. This can be done by clicking on the “Transform Data” button, which will launch the Power Query Editor. Here, you can apply various transformations to the data, such as filtering, sorting, and merging.
Step 4: Use the Data in Power BI
Now that you’ve loaded the data into Power BI, you can use it to create visualizations and gain insights. Power BI provides a wide range of visualization options, including charts, tables, and maps.
To create a visualization, select the data you want to visualize and drag it onto the canvas. From here, you can choose the type of visualization you want to create and customize it to your liking.
Connecting to the Azure DevOps Server data source from inside Power BI using Power Query M Language code is a powerful way to gain insights into your software development processes. By following the steps outlined in this article, you can establish a connection to the Azure DevOps Server data source, retrieve and transform the data, and use it to create visualizations that provide valuable insights. So why not take advantage of this powerful feature and start exploring your software development data today?