DP-500 : Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Power BI

This course covers methods and practices for performing advanced data analytics at scale. Students will build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data. In this course, students will use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions.

Audience Profile

Learning Path 5: Design and build tabular models

• Create Power BI model relationships
• Understand DAX concepts
• Create calculation groups
• Enforce Power BI model security
• Use tools to optimize Power BI performance

Learning Path 6: Implement advanced data visualization techniques by using power BI

• Understand advanced data visualization concepts
• Monitor data in real-time with Power BI

Learning Path 7: Implement and manage an analytics environment

• Provide governance in a Power BI environment
• Monitor and audit usage
• Broaden the reach of Power BI

Learning Path 8: Manage the analytics development lifecycle

• Design a Power BI application lifecycle management strategy
• Create and manage a Power BI deployment pipeline
• Create and manage Power BI assets

Before attending this course, it is recommended that students have:

• A foundational knowledge of core data concepts and how they’re implemented using Azure data services.
• Experience designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value using Microsoft Power BI