- Module 1: The use of OneDrive, Git repositories, and Power BI deployment pipelines allows us to follow application lifecycle management techniques. This reduces administrative overhead and provides continuity in the development process.
Upon completion of this module, you should be able to:
- Outline the application lifecycle process.
- Choose a source control strategy.
- Design a deployment strategy.
- Module 2: The deployment pipelines tool enables Power BI creators to manage the development lifecycle of organizational content.
By the end of this module, you’ll be able to:
- Articulate the benefits of deployment pipelines
- Create a deployment pipeline using Premium workspaces
- Assign and deploy content to pipeline stages
- Describe the purpose of deployment rules
- Deploy content from one pipeline stage to another
- Module 3: Creating shared data assets for your analytics environment provides structure and consistency. Maintaining those assets is as important, and XMLA endpoint provides additional administrative capabilities.
Upon completion of this module, you should be able to:
- Create specialized datasets.
- Create live and DirectQuery connections.
- Use Power BI service lineage view.
- Use XMLA endpoint to connect datasets.
Overview
Syllabus
- Module 1: Module 1: Design a Power BI application lifecycle management strategy
- Introduction
- Define application lifecycle management
- Recommend a source control strategy
- Design a deployment strategy
- Knowledge check
- Summary
- Module 2: Module 2: Create and manage a Power BI deployment pipeline
- Introduction
- Understand the deployment process
- Create a deployment pipeline
- Assign a workspace
- Deploy content
- Work with deployment pipelines
- Check your knowledge
- Summary
- Module 3: Module 3: Create and manage Power BI assets
- Introduction
- Create reusable Power BI assets
- Explore Power BI assets using lineage view
- Manage a Power BI dataset using XMLA endpoint
- Exercise: Create reusable Power BI assets
- Knowledge check
- Summary
