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That is the second a part of the collection of weblog posts exhibiting find out how to combine Energy BI with Azure DevOps, a cloud platform for software program growth. The earlier publish gave a quick historical past of supply management programs, which assist builders handle code adjustments. It additionally defined what Git is, a quick and versatile distributed supply management system, and why it’s helpful. It launched the preliminary configurations required in Azure DevOps and defined find out how to combine Energy BI (Material) Service with Azure DevOps.
This weblog publish explains find out how to synchronise an Azure DevOps repository together with your native machine to combine your Energy BI Initiatives with Azure DevOps. Earlier than we begin, we have to know what a Energy BI Challenge is and the way we are able to create it.
Energy BI Challenge (*.PBIP) is a brand new file format for Energy BI Desktop that was introduced in Could 2023 and made accessible for public preview in June 2023. It permits us to avoid wasting our work as a mission, which consists of a folder construction containing particular person textual content information that outline the report and dataset artefacts. This allows us to make use of supply management programs, akin to Git, to trace adjustments, examine revisions, resolve conflicts, and evaluate adjustments. It additionally allows us to make use of textual content editors, akin to Visible Studio Code, to edit the artefact definitions extra productively and programmatically. Moreover, it helps CI/CD (steady integration and steady supply), the place we submit adjustments to a collection of high quality gates earlier than making use of them to the manufacturing system.
PBIP information differ from the common Energy BI Desktop information (PBIX), which retailer the report and dataset artefacts as a single binary file. This made integrating with supply management programs, textual content editors, and CI/CD programs troublesome. PBIP goals to beat these limitations and supply a extra developer-friendly expertise for Energy BI Desktop customers.
Since this characteristic remains to be in public preview when penning this weblog publish, we now have to allow it from the Energy BI Desktop Choices and Settings.
Allow Energy BI Challenge (Developer Mode) (At present in Preview)
As talked about, we first must allow the Energy BI Challenge (Developer Mode) characteristic, launched for public preview within the June 2023 launch of Energy BI Desktop. Energy BI Challenge information enable us to avoid wasting our Energy BI information as *.PBIP information deconstruct the legacy Energy BI report information (*.PBIX) into well-organised folders and information.
With this characteristic, we are able to:
- Edit particular person elements of our Energy BI file, akin to knowledge sources, queries, knowledge mannequin, visuals, and many others.
- Use any textual content editor or IDE to edit our Energy BI file
- Examine and merge adjustments
- Collaborate with different builders on the identical Energy BI file
To allow Energy BI Challenge (Developer Mode), observe these steps in Energy BI Desktop:
- Go to File
- Click on Choices and settings
- Click on Choices

- Within the Choices dialog field, go to Preview options
- Test the field subsequent to Energy BI Challenge information
- Click on OK

After making use of the adjustments, we have to restart the Energy BI Desktop.
The first publish of this collection defined find out how to create a brand new Organisation, Challenge, and Repo in Azure DevOps. So, we don’t repeat these steps right here. As a substitute, this part explains find out how to clone our Git repository created on Azure DevOps on the native machine. Cloning is the method of copying a distant repository to a neighborhood machine in order that we are able to work on the mission offline.
To clone a Git repo on a neighborhood machine, we require both to put in Visible Studio or Visible Studio Code (VS Code) on the native machine. We are able to additionally use Git Command Line for cloning. The latter is out of the scope of this weblog, so we give attention to utilizing the VS Code strategies.
Notice
Whatever the desired cloning methodology, we now have to put in Git on the native machine.
Observe these steps to shut Azure DevOps Repos with VS Code:
- In your net browser, navigate to your Azure DevOps Group utilizing this sample: https://dev.azure.com/{your_organization_name}
- Click on the specified Challenge

- Click on Repos
- Click on the Clone button
- From the Clone Repository pane, click on the Clone in VS Code button
- Click on the Open button

- Now you get a message on VS Code to Enable an extension to open this URL; click on the Open button

- Choose a Folder to clone information
- Click on the Choose as Repository Vacation spot button

- Cross your credentials on the Git Credential Supervisor and click on the Register button

We’re executed now. You may click on both the Open button to navigate to the chosen cloned repo inside the VS Code or click on the Open in New Window button to open a brand new occasion of VS Code and navigate to the cloned repo.

Thus far, we now have cloned an Azure DevOps repo with VS Code. The subsequent step is to create a Energy BI Challenge.
Create a Energy BI Challenge
The subsequent step is to create a Energy BI Challenge utilizing Energy BI Desktop. You may both create a brand new mission from scratch or convert an current PBIX file right into a Energy BI Challenge file (PBIP). On this weblog publish, I create a brand new file from scratch.
To create a Energy BI Challenge file, observe these steps:
- Open a brand new occasion of Energy BI Desktop, then click on the File menu
- Click on the Save as choice
- Click on the Browse this machine
Notice
Chances are you’ll wish to save the mission in your OneDrive. In that case choose the OneDrive choice on the Save as menu.
- Within the Save As dialog field, select the situation of the cloned Azure DevOps repo
- Kind in a reputation to your file
- Within the Save as sort drop-down checklist, choose the Energy BI Challenge information (*.pbip) choice
- Click on Save

Once we navigate to the situation the place we saved the mission, we’ll see that the folder accommodates the next:
- The PBIP From Scratch.pbip file
- A PBIP From Scratch.Dataset folder
- A PBIP From Scratch.Report folder
You may discover and edit these folders and information utilizing Energy BI Desktop or another software of your alternative akin to Tabular Editor or perhaps a notepad editor akin to Notepad++.
Now that we created the Energy BI mission, let’s stick with it and create a easy knowledge mannequin and report.
Since that is only a easy check, we are able to connect with any knowledge supply of alternative, I exploit Microsoft’s SQL Server pattern database: AdventureWorks2022DW.
In my pattern, I get knowledge from the next tables:
- DimDate
- DimProduct
- FactInternetSales
I additionally created a brand new measure as under:
Gross sales = SUM(FactInternetSales[SalesAmount])
Then I created a easy report with a slicer and a line chart as follows, and I saved the adjustments regionally on my machine:

Now on VS Code:
- The Supply Management pane detected a few adjustments
- To commit the adjustments we enter a remark that explains what we now have executed
- Click on the Commit button to commit the adjustments to Azure DevOps Repo

Relying in your VS Code settings, chances are you’ll get the next message on VS Code saying “There aren’t any staged adjustments to commit. Would you prefer to stage all of your adjustments and commit them immediately?” as proven within the following picture. This query asks you if you want to Stage all adjustments first, after which Commit them regionally. Be taught extra about Staging adjustments and Committing right here.
I choose All the time as I don’t need VS Code to ask the identical query once more sooner or later.

Thus far, we dedicated adjustments to our native machine, we now wish to publish the adjustments to Azure DevOps.
- Kind in a remark
- Click on the Publish Department button

Now, we efficiently Pushed all adjustments to the Azure DevOps repo. The subsequent step is to examine the DevOps repo. Checking if the adjustments have gone via on Azure DevOps is straightforward. We simply must navigate to the specified Challenge on Azure DevOps.

Log into Material and navigate to the specified Workspace. For those who accurately configured Git Integration from the Workspace Settings, it’s best to see that the Workspace contents synchronised with the Azure DevOps repo.

As you see, in my case, the synchronisation was profitable. Now, let’s open the report and see whether it is truly working.

As you may see, the report is empty. It’s because the Git integration in Material solely synchronises the dataset and report definitions, not the information. Subsequently, we now have to both refresh the dataset or Publish the report back to Material from Energy BI Desktop.
Notice
Since we work on a Energy BI Challenge, for those who use older variations of Energy BI Desktop than the Aug 2023 launch, the Publish button is disabled.
That is it for this weblog publish.
Within the subsequent weblog, we have a look at some real-world working eventualities and focus on present limitations and concerns.
So keep tuned for that.
As all the time, I might like to know your opinion and ideas. So please share with us what you assume within the feedback part under.
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