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Power BI is a powerful tool for data visualization and analysis. It provides a wide range of data connectors to connect to various data sources. However, there are situations where you may need to connect to a data source that is not natively supported by Power BI. One such scenario is when you need to connect to a BI Connector data source from inside Power BI. In this article, we will explore how to use Power Query M Language code to achieve this.

Are you looking to take your data analysis skills to the next level? Look no further than Power BI, a powerful business analytics tool that allows you to transform raw data into valuable insights. In this article, we’ll dive deep into two essential functions in Power BI: VALUES and DISTINCT. These functions will help you unlock the true potential of your data and elevate your analysis game to new heights.

Parquet is an efficient data storage format that is widely used in big data analytics. It is an open source columnar storage format that is optimized for large-scale data processing on Hadoop. Parquet files are highly compressed, which makes them ideal for storing and analyzing large datasets.

Power BI is a powerful business intelligence tool that enables users to create visually appealing and interactive reports. One of the key features of Power BI is its ability to connect to a wide range of data sources, including databases, Excel files, and web services. In this article, we will go through the steps of using Power Query M language code to connect to the Kognitwin data source from inside Power BI.

Power BI is an incredible data visualization tool that allows you to connect to various data sources, transform and clean data, and create beautiful and interactive reports and dashboards. One such data source is the Jamf Pro data source, which is a mobile device management solution for Apple devices. In this article, we will explore the Power Query M language code for connecting to the Jamf Pro data source from inside Power BI.