This course is designed to lead users through the experience of working with Power BI content in the Power BI service. This web-enabled environment is where content creators and business users go to develop, deploy, and consume content. This course will walk through the process of creating Power BI workspaces in this environment, provisioning user roles, and publishing content to these spaces. It will also walk through the steps necessary to make that content available to a larger business audience by developing workspace apps.
Content in Power BI is also constantly iterated upon, and this course will establish best practices for development lifecycle strategy and the use of premium features like deployment pipelines. Once Power BI content is deployed, it must also be accessible and discoverable. This course will examine processes for promoting and certifying Power BI content and configuring subscriptions so that content can be emailed to users at a defined frequency.
- Create a Power BI workspace
- Assign workspace roles
- Publish a Power BI desktop file
- Create a workspace app
- Create a dashboard in a workspace
- Certify a dataset
- Configure a subscription
This course is designed for individuals who are working with Power BI and those studying for Microsoft’s Power BI Certification assessment.
To get the most from this course, you should have reasonable experience working with Power BI. If you're new to Power BI, we recommend taking our Introduction to Power BI course.
Let's walk through the process of certifying a dataset. Here in our workspace, let's locate the dataset we wish to certify. In this case, it's called DemoDashboard. We'll click on these three dots and navigate to the Settings menu. From within the Settings menu, we'll navigate to Endorsement and discovery and expand that section. And here we have the option to select Promoted or Certified. And in this case, we'll select Certified and Apply. Once we've done that, we've now certified the dataset. We can verify this by navigating back to the workspace and we'll see that this has now been certified under the Endorsement column.
Steve is an experienced Solutions Architect with over 10 years of experience serving customers in the data and data engineering space. He has a proven track record of delivering solutions across a broad range of business areas that increase overall satisfaction and retention. He has worked across many industries, both public and private, and found many ways to drive the use of data and business intelligence tools to achieve business objectives. He is a persuasive communicator, presenter, and quite effective at building productive working relationships across all levels in the organization based on collegiality, transparency, and trust.