Azure DevOps Metrics in Power BI for Analytics

Azure DevOps:

Azure DevOps provides development services that enable teams to plan work, collaborate on code development, and build and deploy applications. Azure DevOps supports a collaborative culture and a set of processes that bring developers, project managers, and contributors together to build software. It enables organisations to create and improve products at a faster pace than traditional software development methods. You can work in the cloud with Azure DevOps Services or on-premises with Azure DevOps Server. For information about the differences between cloud and on-premises platforms, check DevOps Training in Chennai.


Power BI:

Power BI is a Microsoft Business Analytics service. It aims to provide interactive views and business intelligence features with a simple interface so that end users can create their reports and dashboards. There is currently no direct way to implement CICD in Power BI. Using the Publish menu in Power BI Desktop is currently the easiest way to deploy/publish a report. In this article, we will see how to implement source control and CICD for Power BI using Azure DevOps.


Difficulties Using Direct Publishing From Power BI Desktop:

Some are struggling with publishing a Power BI Report directly from Power BI Desktop, that contains


  • Power BI Desktop (Client Tool) necessary to be installed in all the Environments (Production, Dev, QA Servers)

  • Without having a proper Source Version Control.

  • The developer is necessary for all the data sources across every environment. For E.g, if we have two environments, say Dev and PROD and the data source is SQL server, then the developer needs access to both Dev SQL Server and PROD SQL Server.

  • The developer needs to automatically change the data source settings for every environment.


Create A DSN:

Installing the Power BI connector creates a DSN (data source name) named CData Power BI Azure DevOps. This is the DSN name that Power BI uses to request a connection to the data source. You can use the Microsoft ODBC Data Source Manager to create a new DSN or to configure (and rename) an existing DSN: Type "ODBC Data Sources" in the Start menu. Make sure you are using a version of the ODBC Manager that matches the bit version of your Power BI Desktop installation (32-bit or 64-bit).


Get Azure DevOps Data:

To configure a data source, follow these steps to load data from Azure DevOps tables into a dataset. Select the views you want to load. Select CData Power BI Azure DevOps from the Data Source Name menu and select Import Data Connection Mode. Expand the CData Power BI Azure DevOps folder, expand the associated schema folder, and select Tables.


Usage Of Metrics:

They cannot be added to the application. If you pin a tile from the usage metrics overview to a dashboard, you can't add that dashboard to your application.


Best Practice:

If you use cloud data sources, you don't need a gateway, but for local data sources, we need to use a gateway. Another benefit of using a gateway for cloud data sources is that your credentials are encrypted and stored on the gateway server, not in Power BI. Try to limit the hardcoding of data sources in your reports (or) In other words, try to use parameters for your data source as much as possible. Also note that parameter update using Power BI REST API is not supported in sources like SQL, Oracle, and Teradata. Organise the resource management folder structure based on your requirements/specific client/data source.


Importance of Metrics:

Knowing how your article is being used will help you demonstrate your impact and prioritise your efforts. Your usage metrics might show that one of your reports is being used daily by a large portion of the organisation, and it might show that a dashboard you've created isn't showing up. You can only run reports based on Power BI usage metrics. ​​​​​​​​​However, if you save a usage metrics report or pin it to a dashboard, you can open and work with the report on mobile devices.


Conclusion:

The Azure DevOps platform is mostly used in the software development process. In this sense, this platform helps the association that currently uses Azure and simplifies the SLA. In this article, we talk about Introduction to Azure DevOps. To move into a cloud platform to improve your knowledge through the course, get Azure Training in Chennai for the best career.

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