| Module 0 |
Lab environment setup with a pre-installed virtual machine |
| Module 1 |
Explore compute and storage options for data engineering workloads |
| Module 2 |
Run interactive queries using serverless SQL pools |
| Module 3 |
Data exploration and transformation in Azure Databricks |
| Module 4 |
Explore, transform, and load data into the Data Warehouse using Apache Spark |
| Module 5 |
Ingest and load data into the Data Warehouse |
| Module 6 |
Transform data with Azure Data Factory or Azure Synapse Pipelines |
| Module 7 |
Integrate data from notebooks with Azure Data Factory or Azure Synapse Pipelines |
| Module 8 |
End-to-end security with Azure Synapse Analytics |
| Module 9 |
Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link |
| Module 10 |
Real-time stream processing with Stream Analytics |
| Module 11 |
Create a stream processing solution with Event Hubs and Azure Databricks |