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.
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:
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.
Power BI Training Courses by G Com Solutions (0800 998 9248)
Power BI is a popular tool for creating data visualizations and making sense of large amounts of data. One of the keys to getting the most out of Power BI is being able to connect to different data sources. In this article, we will explore how to connect to the Entersoft Business Suite data source from inside Power BI using the Power Query M language.
Power BI is a powerful business intelligence platform that enables users to create interactive visualizations and reports from a wide range of data sources. One of the key features of Power BI is its ability to connect to dataflows, which are a type of data source that allows users to capture, transform, and load data from various sources into the Power BI service.
In the realm of business intelligence and data visualization, Power BI has emerged as a powerful tool that enables organizations to gain valuable insights from their data. One essential aspect of creating impactful Power BI reports is the ability to manipulate and analyze time-based data effectively. This is where the DATEADD function comes into play, offering users the ability to unlock maximum flexibility in their reports. In this article, we will explore the various ways in which DATEADD can supercharge your Power BI reports, enabling you to harness the full potential of your data.
In today’s fast-paced world, building connections and fostering meaningful relationships has become increasingly important. Whether it’s in business or personal life, the ability to establish profound connections can lead to success, happiness, and fulfillment. However, finding common ground and shared experiences can often be challenging. This is where the power of data analysis tools, such as Power Query, comes into play. In this article, we will explore how Power Query’s Current Date feature can help you unlock insights and build profound connections.
Integrating SAP Business Warehouse (BW) with Microsoft Power BI can significantly enhance your data analysis and reporting capabilities. Power BI offers a dedicated connector for SAP BW, specifically the SAP BW Message Server Data Source Connector, which facilitates seamless data retrieval from your SAP BW environment. This guide will walk you through the steps to effectively use this connector, ensuring a smooth integration experience.
Replicating Qlik Sense Keep Operations in Power Query turns out to be fairly straightforward. I was recently asked by a client whether the Keep operations present in Qlik Sense could be replicated in Power Query. The Keep functionality allows report developers to import two tables which each observe a join but where the two tables…
