Azure Cost Management
Power BI is a powerful business intelligence tool that allows users to connect to a variety of data sources. One such data source is Azure Cost Management, which allows users to monitor and manage their cloud expenditure. In order to connect to Azure Cost Management from Power BI, users need to use the Power Query M Language Code. This article will explain how to do just that.
What is Power Query M Language Code?
Power Query M Language Code is a language used by Power Query to transform and manipulate data. It is a functional language, meaning that it uses expressions and functions to perform operations on data. Power Query M Language Code is used to connect to a wide range of data sources, including Azure Cost Management.
Connecting to Azure Cost Management from Power BI
To connect to Azure Cost Management from Power BI, users need to follow these steps:
1. Open a new query in Power BI by clicking on “Get Data” from the Home ribbon.
2. Select “Azure” from the list of available data sources.
3. Select “Azure Cost Management” from the list of available Azure services.
4. Enter the required details, including subscription ID and authentication method.
5. Once connected, users can use the Power Query M Language Code to transform and manipulate the data.
Using Power Query M Language Code to Transform Data
Power Query M Language Code allows users to transform and manipulate data in a variety of ways. Some of the most common transformations include filtering, sorting, grouping, and aggregating data.
Filtering Data
To filter data using Power Query M Language Code, users can use the “Filter” function. For example, to filter data to only show costs greater than $100, users can use the following code:
“`= Table.SelectRows(#”Previous Step”, each [Cost] > 100)“`
Sorting Data
To sort data using Power Query M Language Code, users can use the “Sort” function. For example, to sort data by cost in descending order, users can use the following code:
“`= Table.Sort(#”Previous Step”,{{“Cost”, Order.Descending}})“`
Grouping and Aggregating Data
To group and aggregate data using Power Query M Language Code, users can use the “Group By” function. For example, to group data by product and sum the costs, users can use the following code:
“`= Table.Group(#”Previous Step”, {“Product”}, {{“Total Cost”, each List.Sum([Cost]), type number}})“`
Conclusion
In conclusion, connecting to the Azure Cost Management data source from inside Power BI requires the use of Power Query M Language Code. By following the steps outlined in this article, users can connect to Azure Cost Management and use Power Query M Language Code to transform and manipulate the data. With the ability to filter, sort, group, and aggregate data, users can gain valuable insights into their cloud expenditure and make informed decisions about how to manage their cloud resources.
