Course Objectives
After completing this course, students will be able to:
-
Implement and manage a data analytics environment
Query and transform data
Implement and manage data models
Explore and visualize data
Agenda
- Explore Azure data services for modern analytics
- Understand concepts of data analytics
- Explore data analytics at scale
- Introduction to Microsoft Purview
- Discover trusted data using Microsoft Purview
- Catalog data artifacts by using Microsoft Purview
- Manage Power BI artifacts by using Microsoft Purview
- Introduction to Azure Synapse Analytics
- Use Azure Synapse serverless SQL pool to query files in a data lake
- Analyze data with Apache Spark in Azure Synapse Analytics
- Analyze data in a relational data warehouse
- Choose a Power BI model framework
- Understand scalability in Power BI
- Optimize Power Query for scalable solutions
- Create and manage scalable Power BI dataflows
- Create Power BI model relationships
- Enforce model security
- Implement DirectQuery
- Create calculation groups
- Use tools to optimize Power BI performance
- Understand advanced data visualization concepts
- Customize core data models
- Monitor data in real-time with Power BI
- Create and distribute paginated reports in Power BI report builder
- Provide governance in a Power BI environment
- Facilitate collaboration and sharing in Power BI
- Monitor and audit usage
- Provision Premium capacity in Power BI
- Establish a data access infrastructure in Power BI
- Broaden the reach of Power BI
- Automate Power BI administration
- Build reports using Power BI within Azure Synapse Analytics
- Design a Power BI application lifecycle management strategy
- Create and manage a Power BI deployment pipeline
- Create and manage Power BI assets
FREE
Interested in course?
Course Type: Instructor Led