Data Engineering on Microsoft Azure (Cloud Share)
In this course, you will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage
What's Included:
- 180 Days of access to lab content
- 1 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. Explore Azure Synapse Analytics |
60 mins
|
| 2. Query files using a serverless SQL pool |
60 mins
|
| 3. Transform data using a serverless SQL pool |
60 mins
|
| 4. Analyze data in a lake database |
60 mins
|
| 5. Analyze data in a data lake with Spark |
60 mins
|
| 6. Transform data using Spark in Synapse Analytics |
60 mins
|
| 7. Use Delta Lake in Azure Synapse Analytics |
60 mins
|
| 8. Explore a relational data warehouse |
60 mins
|
| 9. Load Data into a Relational Data Warehouse |
60 mins
|
| 10. Build a data pipeline in Azure Synapse Analytics |
60 mins
|
| 11. Use an Apache Spark notebook in a pipeline |
60 mins
|
| 14. Use Azure Synapse Link for Azure Cosmos DB |
60 mins
|
| 15. Use Azure Synapse Link for SQL |
60 mins
|
| 17. Get started with Azure Stream Analytics |
60 mins
|
| 18. Ingest realtime data with Azure Stream Analytics and Azure Synapse Analytics |
60 mins
|
| 19. Create a realtime report with Azure Stream Analytics and Microsoft Power BI |
60 mins
|
| 22. Use Microsoft Purview with Azure Synapse Analytics |
60 mins
|
| 23. Explore Azure Databricks |
60 mins
|
| 24. Use Spark in Azure Databricks |
60 mins
|
| 25. Use Delta Lake in Azure Databricks |
60 mins
|
| 26. Use a SQL Warehouse in Azure Databricks |
60 mins
|
| 27. Automate an Azure Databricks Notebook with Azure Data Factory |
60 mins
|
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