Hadoop File
Power Query is an exceptional tool that allows users to connect, transform, and clean data from various sources, including Hadoop File data sources. Power Query M Language is a powerful tool that enables users to write custom code to connect to Hadoop File data sources from inside Power BI. In this article, we will look at the Power Query M Language code required to connect to a Hadoop File data source from inside Power BI.
What is Hadoop?
Hadoop is an open-source framework that allows organizations to store and process large sets of data in a distributed environment. Hadoop is widely used in big data applications, and it is an essential tool for organizations that need to manage and analyze large data sets.
What is Power BI?
Power BI is a business intelligence tool developed by Microsoft. It is used to create interactive reports and dashboards that help organizations make data-driven decisions. Power BI allows users to connect to various data sources, including Hadoop File data sources, and create powerful visualizations and analytics.
Connecting to Hadoop File Data Sources from Inside Power BI
To connect to a Hadoop File data source from inside Power BI, you will need to use the Power Query Editor. In the Power Query Editor, you can write custom code using the Power Query M Language to connect to the Hadoop File data source.
Step 1: Open Power BI
The first step is to open Power BI and click on the Home tab. From here, click on the Get Data button.
Step 2: Select Hadoop File
Next, select the Hadoop File option from the list of available data sources. Click on the Connect button to proceed.
Step 3: Enter Connection Details
In this step, you will need to enter the connection details for the Hadoop File data source. Enter the server name, port, and other details as required. Once you have entered the details, click on the OK button to connect to the data source.
Step 4: Write Power Query M Language Code
In the Power Query Editor, you can write custom code using the Power Query M Language to connect to the Hadoop File data source. The following code can be used to connect to a Hadoop File data source:
let
Source = Hadoop.Database(“ServerName”, “Port”, [Query=”select from table”]),
#”Expanded Value” = Table.ExpandRecordColumn(Source, “Value”, {“column1”, “column2”, “column3”}, {“column1”, “column2”, “column3”})
in
#”Expanded Value”
In this code, replace “ServerName” and “Port” with the server name and port of the Hadoop File data source. Replace “table” with the name of the table in the data source.
Step 5: Load Data into Power BI
Once you have written the Power Query M Language code to connect to the Hadoop File data source, you can load the data into Power BI. Click on the Close & Apply button to load the data into Power BI.
Conclusion
In conclusion, the Power Query M Language is an essential tool that allows users to connect to Hadoop File data sources from inside Power BI. By following the steps outlined in this article, you can write custom code to connect to a Hadoop File data source and load the data into Power BI. With the ability to analyze and visualize large data sets, Power BI is a powerful tool for organizations that need to make data-driven decisions.
