Course Description

Course Overview

Enterprise-Scale Analytics Solutions Using Microsoft Azure & Power BI (DP-500) is an advanced training program designed for data professionals and business intelligence developers to gain expertise in designing and implementing large-scale analytics solutions using Microsoft Azure and Power BI. Participants will learn how to leverage Azure data services, build data pipelines, design data models, and create interactive visualizations for enterprise-level data analysis and decision-making.

Prerequisites

To excel in this course, participants should have a solid understanding of data analysis concepts, data modeling, and business intelligence tools. Familiarity with Microsoft Azure fundamentals and Power BI is essential. Prior experience with data warehousing, SQL, and data integration will be highly beneficial.

Methodology

The course will be delivered through a combination of instructor-led lectures, practical demonstrations, hands-on labs, and interactive discussions. Participants will have access to dedicated Azure and Power BI environments for hands-on practice, enabling them to apply the concepts learned in real-world scenarios. The course will be led by certified instructors with extensive experience in enterprise-scale analytics and Azure/Power BI solutions, ensuring a high-quality learning experience.

Course Outline

• Introduction to Enterprise-Scale Analytics
• Understanding the role of analytics in modern enterprises
• Overview of Azure data services and Power BI capabilities
• Identifying analytics challenges and solutions for large-scale projects
• Designing Data Storage and Processing Solutions with Azure
• Planning and implementing data storage using Azure data services
• Designing and deploying data processing solutions with Azure Data Factory
• Integrating data sources and creating data pipelines
• Designing Data Models and Transformations with Azure Synapse Analytics
• Designing data models for analytical solutions
• Implementing data transformations using Azure Synapse Analytics
• Creating and managing data integration runtimes
• Implementing Data Visualization and Business Intelligence with Power BI
• Designing interactive reports and dashboards in Power BI
• Implementing Power BI data models and relationships
• Utilizing Power BI service for sharing and collaboration
• Designing Security and Governance for Enterprise-Scale Analytics Solutions
• Implementing security measures and access controls in Azure and Power BI
• Designing data governance and compliance strategies
• Monitoring and auditing analytics solutions for security and performance

Outcome

Upon completion of this course, participants will be able to:

• Design and implement enterprise-scale analytics solutions using Azure and Power BI.
• Utilize Azure data services for data storage, processing, and integration.
• Create data models and transformations using Azure Synapse Analytics.
• Develop interactive reports and dashboards in Power BI for data visualization.
• Implement security and governance measures for analytics solutions.

Labs

• Designing Data Storage and Processing Solutions with Azure Data Services
• Building Data Pipelines with Azure Data Factory
• Implementing Data Models and Transformations with Azure Synapse Analytics
• Creating Interactive Reports and Dashboards in Power BI
• Implementing Power BI Data Models and Relationships
• Designing Security and Governance for Enterprise-Scale Analytics Solutions