TeamDesk
Power BI is a business intelligence tool that has gained popularity in recent times. It provides various features and functionalities that enable users to visualize and analyze data effectively. One of the key features of Power BI is Power Query, which is used to extract, transform and load data from various sources. In this article, we will discuss how to connect to the TeamDesk data source using Power Query M language code from inside Power BI.
Introduction to TeamDesk
TeamDesk is a web-based database application that enables users to create custom solutions for their business needs. It provides a platform for users to manage data, automate workflows, and collaborate with team members. TeamDesk offers a wide range of features to its users, including customizable forms, reports, dashboards, and integrations with other applications.
Understanding Power Query M Language Code
Power Query is a data connection technology that enables users to extract, transform and load data from various sources. It is a powerful tool that can be used to connect to a wide range of data sources, including databases, web services, and files. Power Query uses a functional language called M to perform data transformations.
M language is used to create queries and perform data transformations in Power Query. It is a case-sensitive language that is similar to other programming languages like C#. M is used to create expressions, functions, and variables that are used to transform data. M language is used to create queries in Power Query Editor, which is a graphical interface for creating queries.
Connecting to TeamDesk Data Source from Inside Power BI
To connect to the TeamDesk data source from inside Power BI, we need to follow the below steps:
1. Open Power BI Desktop and click on the “Get Data” button on the Home tab.
2. Select “Web” from the list of available data sources.
3. In the “From Web” dialog box, enter the TeamDesk API URL in the URL field. The API URL can be obtained from the TeamDesk account.
4. Click on the “OK” button to connect to the TeamDesk data source.
5. In the next screen, select the required tables and click on the “Load” button to load the data into Power BI.
6. Alternatively, we can also use Power Query M language code to connect to the TeamDesk data source. To do this, we need to follow the below steps:
7. Open Power BI Desktop and click on the “New Source” button on the Home tab.
8. Select “Blank Query” from the list of available options.
9. In the “Query Editor” window, click on the “Advanced Editor” button on the View tab.
10. In the advanced editor window, enter the following M language code to connect to the TeamDesk data source:
let
Source = Json.Document(Web.Contents(“https://api.TeamDesk.net/v1/mydatabase/table”)),
#”Converted to Table” = Record.ToTable(Source),
#”Expanded Value” = Table.ExpandRecordColumn(#”Converted to Table”, “Value”, {“Field1”, “Field2”, “Field3”}, {“Value.Field1”, “Value.Field2”, “Value.Field3”})
in
#”Expanded Value”
11. Replace the “https://api.TeamDesk.net/v1/mydatabase/table” with the actual API URL for the required table.
12. Click on the “Done” button to save the changes.
13. In the next screen, select the required columns and click on the “Load” button to load the data into Power BI.
Conclusion
Power Query M language code is a powerful tool that can be used to connect to a wide range of data sources, including the TeamDesk data source. By using M language code, we can create queries and perform data transformations that are not possible using the graphical interface. In this article, we have discussed how to connect to the TeamDesk data source using Power Query M language code from inside Power BI. By following the above steps, we can easily connect to the TeamDesk data source and load the required data into Power BI.
