Prepare data for tabular models in Power BI

  • Learning Path
  • 3 Modules
Intermediate
Data Analyst
Power BI

Designing reports for enterprise scale requires more than just connecting to data. Understanding Power BI model frameworks and strategies for scalability and optimization are key to a successful enterprise implementation. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Prerequisites

Consider completing the Model data in Power BI learning path. You will need knowledge of:

  • Power BI data model design including star schema design basics
  • DAX language basics including syntax, functions, and context

Modules in this learning path

Choose a Power BI model framework

Describe model frameworks, their benefits and limitations, and features to help optimize your Power BI data models.

Understand scalability in Power BI

Scalable data models enable enterprise-scale analytics in Power BI. Implement data modeling best practices, use large dataset storage format, and practice building a star schema to design analytics solutions that can scale.

Create and manage scalable Power BI dataflows

Create Power BI transformation logic for reuse across your organization with Power BI dataflows. Learn how to combine Power BI dataflows with Power BI Premium for scalable ETL, and practice creating and consuming dataflows.