Azure Data Analyst (Cloud Share)
This lab 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.
What's Included:
- 10 launches per module
- Free Access to production Azure Subscription (No sign up / credit cards)
- Free 24/7 premier support
- Free instructor access
Platform Features:
- Seamless paste to virtual machine functionality
- Integrated keyboard language translation for all countries
- Integrated step-by-step instructions
- Remote classroom management for instructors & admins
- Student progress reporting
- MS Learn content integration
| Lab | Estimated completion time |
|---|---|
| 1. Query files using a serverless SQL pool |
90 mins
|
| 2. Analyze data in a data lake with Spark |
90 mins
|
| 3. Explore a relational data warehouse |
90 mins
|
| 4. Create a star schema model |
90 mins
|
| 5. Create a dataflow |
90 mins
|
| 6. Work with model relationships |
90 mins
|
| 7. Create calculation groups |
90 mins
|
| 8. Create a composite model |
90 mins
|
| 9. Enforce model security |
90 mins
|
| 10. Improve performance with hybrid tables |
90 mins
|
| 11. Improve query performance with dual storage mode |
90 mins
|
| 12. Improve query performance with aggregations |
90 mins
|
| 13. Use tools to optimize Power BI performance |
90 mins
|
| 14. Monitor data in real time |
90 mins
|
| 15. Create a paginated report |
90 mins
|
| 16. Create reusable Power BI artifacts |
90 mins
|
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