Data Factory on Azure and Microsoft Fabric, Azure DevOps (CI/CD), Azure Data Lake, Azure SQL and more (DP-203, DP-600)
InstructorMalvik VaghadiaComidoc has tracked 1 coupon for this course since 2026, last checked 3 months, 2 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| MAY_DEALS | 44% off | Expired | 4d 13h |
Instruction covers diverse data transformation types including Select, Filter, Sort, Aggregate, and Join within Data Flows, alongside security via Service Principals and Azure Key Vault.
The curriculum includes source control with Git and automated build/release pipelines for deployment workflows.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This architectural diagram illustrates the dedicated course project workflow, mapping data movement from Azure Blob Storage through Data Lake Gen2 into a structured SQL database.
This visual overview outlines the course structure with seven key modules covering Azure storage, data flows, SQL databases, and pipeline orchestration.
This visual inventory highlights the core technologies covered in the course, including Azure Data Factory, storage solutions like Blob and Data Lake, and SQL databases.
One signal from a review dated before the displayed update suggests difficulty accessing Data Factory within the Microsoft Fabric trial environment; however, the update label does not prove this has been corrected.
One signal from a review dated before the displayed update indicates that technical steps may be navigated too quickly for some learners; the update label does not prove this has been corrected.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns with the target audience of cloud data engineers, though environmental access issues were noted; this signal predates the displayed course update, and while the update may have addressed it, the update label does not prove that it was corrected.
