Azure SQL Database

ByGrant Gamble

When it comes to business intelligence, Power BI has become one of the most popular tools in the market. With its ability to analyze, visualize, and share data insights, Power BI is a game-changer for businesses of all sizes. One of the key features of Power BI is its ability to connect to various data sources, including Azure SQL Database. In this article, we will explore the Power Query M Language code for connecting to the Azure SQL Database data source from inside Power BI.

What is Power Query M Language?

Azure SQL Database

Power Query is a data transformation and cleansing tool that is integrated into Power BI. It enables users to connect to different data sources and transform the data into the desired format for analysis and visualization. Power Query M Language is the formula language used in Power Query to create and manipulate data transformations. It is a functional language that allows users to perform complex data transformations using a simple syntax.

Connecting to Azure SQL Database from Power BI

To connect to an Azure SQL Database data source from inside Power BI, you need to follow these steps:

1. Open Power BI and click on the “Get Data” button on the Home tab

2. Select “SQL Server” under the “Database” category

3. Enter the server name and database name for your Azure SQL Database

4. Select “SQL Server Authentication” and enter your credentials

5. Click on “Connect” to establish the connection

Once the connection is established, Power BI will load the tables from the database into the Navigator window. You can select the tables you want to import and click on “Load” to bring the data into Power BI.

Using Power Query M Language for Data Transformations

After connecting to the Azure SQL Database data source, you may need to perform data transformations to get the data into the desired format for analysis and visualization. Power Query M Language makes it easy to perform these transformations using a simple syntax.

Here is an example of Power Query M Language code for transforming data from a table in Azure SQL Database:

let

Source = Sql.Database(““, ““, [Query=”SELECT FROM

“]),

#”Transformed Data” = Table.TransformColumnTypes(Source{[Schema=”“, Item=”

“]},{{““, type text}, {““, type number}})

in

#”Transformed Data”

In this example, we are connecting to a table in Azure SQL Database and transforming two columns to the desired data types. The ““, ““, ““, “

“, and “” placeholders should be replaced with the appropriate values for your data source.

Conclusion

Power Query M Language is a powerful tool for connecting to and transforming data from different data sources, including Azure SQL Database. With its simple syntax and functional approach, users can easily perform complex data transformations to prepare data for analysis and visualization in Power BI. By following the steps outlined in this article, you can connect to your Azure SQL Database data source from inside Power BI and use Power Query M Language to perform the necessary data transformations.

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