Data Virtuality LDW

Power BI is a powerful tool for businesses to visualize and analyze their data. It supports a wide range of data sources, including the Data Virtuality LDW data source. In this article, we will explore the Power Query M Language code for connecting to the Data Virtuality LDW data source from inside Power BI.

What is Data Virtuality LDW?

Data Virtuality LDW

Data Virtuality LDW is a data integration solution that enables businesses to connect and integrate data from various sources into a single source of truth. It provides a virtualized layer over the data sources, which allows businesses to access and analyze the data without having to move it to a central data warehouse.

Connecting to Data Virtuality LDW from Power BI

To connect to the Data Virtuality LDW data source from Power BI, you need to follow the steps below:

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

2. Select “Data Virtuality LDW” from the list of available data sources.

3. Enter the server URL and credentials for your Data Virtuality LDW instance.

4. Select the tables you want to import into Power BI.

5. Click on “Load” to import the data into Power BI.

Alternatively, you can use Power Query M Language code to connect to the Data Virtuality LDW data source from inside Power BI. This provides more flexibility and control over the data import process.

Power Query M Language Code for Connecting to Data Virtuality LDW

The Power Query M Language is a functional language used to transform and manipulate data in Power BI. To connect to the Data Virtuality LDW data source using Power Query M Language, you need to follow the steps below:

1. Open Power BI and click on the “Edit Queries” button.

2. Click on “New Source” and select “Blank Query” from the list of available options.

3. In the formula bar, enter the following code:


let

Source = Odbc.DataSource(“dsn=myDSN;UID=myuser;PWD=mypassword”)

in

Source


Replace “myDSN”, “myuser”, and “mypassword” with the appropriate values for your Data Virtuality LDW instance.

4. Click on “Done” to create the query.

5. Click on the “Close & Apply” button to import the data into Power BI.

Conclusion

In this article, we have explored the Power Query M Language code for connecting to the Data Virtuality LDW data source from inside Power BI. We have also discussed the benefits of using Data Virtuality LDW as a data integration solution. By following the steps outlined in this article, businesses can easily connect to their Data Virtuality LDW instance from Power BI and start analyzing their data.

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