If you’re looking to connect to a Dynamics NAV data source from inside Power BI, you’re in luck! Power Query M Language code can easily accomplish this task. In this article, we’ll walk you through the process of connecting to a Dynamics NAV data source, step-by-step.
Prerequisites
Before we get started, there are a few prerequisites you’ll need to meet in order to connect to your Dynamics NAV data source. You’ll need to have:
At this point, you’ll need to enter your Dynamics NAV credentials. Once you’ve done that, Power BI will connect to your Dynamics NAV data source.
Building Your Query
After you’ve connected to your Dynamics NAV data source, you’ll need to build your query. This is where the real power of Power Query M Language code comes in. Here’s how to do it:
1. Click on the “Transform Data” button
2. In the Power Query Editor, click on the “Advanced Editor” button in the “View” tab
3. Copy and paste the following code into the editor:
let
Source = OData.Feed(“Dynamics NAV OData API URL>”),
#”NAV_TableName” = Source{[Name=”
Dynamics NAV>”]}[Data]
in
#”NAV_TableName”
4. Replace “Dynamics NAV OData API URL>” with your actual Dynamics NAV OData API URL.
5. Replace “
Dynamics NAV>” with the name of the table you want to access in Dynamics NAV.
6. Click “Done” to close the editor.
Conclusion
And that’s it! You’ve successfully connected to your Dynamics NAV data source from inside Power BI using Power Query M Language code. This allows you to take advantage of the full range of data analysis tools available in Power BI, giving you insights into your Dynamics NAV data that you might not have had before. Happy analyzing!
Power BI Training Courses by G Com Solutions (0800 998 9248)
Power BI is a powerful tool that allows businesses to analyze and interpret their data to make informed decisions. One of the key features of Power BI is the ability to connect to a variety of data sources, including the Digital Construction Works Insights data source. To do this, you’ll need to use Power Query M Language code.
To obtain your MCSA: BI Reporting you need to pass two exams: 70-778 (Analyzing and Visualizing Data with Power BI) and 70-779 (Analyzing and Visualizing Data with Excel). However, there is a huge overlap between the two exams resulting from the common BI features found in both Power BI and Excel: namely data modelling using…
Developing Data-Driven DEI Strategies: Using Insights from Power BI to Craft and Refine DEI Strategies Within the Workplace Introduction Imagine unlocking the full potential of your workforce by ensuring that every voice is heard and every person feels valued. In today’s increasingly diverse workplace, this isn’t just a lofty goal—it’s a business imperative. This post…
Power BI is a business analytics service by Microsoft that allows users to visualize and analyze data from a wide range of sources. One of the key features of Power BI is its ability to connect to various data sources, including Azure Synapse Analytics SQL data source. In this article, we will discuss how to connect to Azure Synapse Analytics SQL data source from inside Power BI using Power Query M language code.
Introduction Are you struggling to identify and eliminate waste in your business processes? In a world where efficiency can make or break a business, Lean Six Sigma stands out as a proven methodology to streamline operations and improve quality. But what if you could supercharge these efforts using advanced data analytics? Enter Power BI, a…
Power BI is a powerful business intelligence tool that allows organizations to gain valuable insights from their data. To make the most of Power BI’s capabilities, it is crucial to understand the concept of measures and how they contribute to measuring success. In this article, we will explore the different aspects of measures, including implicit measures, and delve into their significance in the Power BI ecosystem.