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?
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:
Source = Sql.Database(“