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

LEARNING PATH 1
Introduction to data analytics on Azure

• Module 1: Explore Azure data services for modern analytics
• Module 2: Understand concepts of data analytics
• Module 3: Explore data analytics at scale

LEARNING PATH 2
Govern data across an enterprise

• Module 1: Introduction to Microsoft Purview
• Module 2: Discover trusted data using Microsoft Purview
• Module 3: Catalog data artifacts by using Microsoft Purview
• Module 4: Manage Power BI assets by using Microsoft Purview
• Module 5: Integrate Microsoft Purview and Azure Synapse Analytics

LEARNING PATH 3
Model, query, and explore data in Azure Synapse

• Module 1: Introduction to Azure Synapse Analytics
• Module 2: Use Azure Synapse serverless SQL pool to query files in a data lake
• Module 3: Analyze data with Apache Spark in Azure Synapse Analytics
• Module 4: Analyze data in a relational data warehouse

LEARNING PATH 4
Prepare data for tabular models in Power BI

• Module 1: Choose a Power BI model framework
• Module 2: Understand scalability in Power BI
• Module 3: Create and manage scalable Power BI dataflows

LEARNING PATH 5
Design and build tabular models

• Module 1: Create Power BI model relationships
• Module 2: Use DAX time intelligence functions in Power BI Desktop models
• Module 3: Create calculation groups
• Module 4: Enforce Power BI model security
• Module 5: Use tools to optimize Power BI performance

LEARNING PATH 6
Implement advanced data visualization techniques by using Power BI

• Module 1: Understand advanced data visualization concepts
• Module 2: Monitor data in real-time with Power BI
• Module 3: Create paginated reports

LEARNING PATH 7
Implement and manage an analytics environment

• Module 1: Provide governance in a Power BI environment
• Module 2: Monitor and audit usage
• Module 3: Broaden the reach of Power BI
• Module 4: Build reports using Power BI within Azure Synapse Analytics

LEARNING PATH 8
Manage the analytics development lifecycle

• Module 1: Design a Power BI application lifecycle management strategy
• Module 2: Create and manage a Power BI deployment pipeline
• Module 3: Create and manage Power BI assets

Candidates for this course should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

Specifically, candidates should have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX).

They should also be proficient in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analyzing data by using Transact-SQL (T-SQL), and visualizing data.

Microsoft Certified: Azure Enterprise Data Analyst Associate after successful completion of the Exam DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI