Master Azure Data Factory: Build Real Projects with CI/CD, DevOps & Pipelines – Kickstart Your Data Engineering Career
InstructorStep2C Education
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
A data pipeline design canvas with a selected Get Metadata activity and a properties panel displaying dataset configuration fields.
A screenshot of the Azure Data Factory interface displaying a pipeline canvas with a Lookup activity connected to a ForEach activity, alongside a properties pane.
Screenshot of the Azure Data Factory interface displaying the Connections tab with a list of linked services for Azure Blob Storage and SQL Database.
A screenshot of the SQL Server Management Studio Object Explorer displaying a database tree structure with the Azure_SQL_DB node selected.
The curriculum provides dedicated instruction on integrating Azure Data Factory with both GitHub and Azure DevOps, covering feature branches and automated releases.
Instruction includes Mapping Data Flows and Change Data Capture (CDC) options to handle complex data movement.
The course includes demonstrations of essential tasks such as incremental loads and secure resource management using Azure Key Vault.
One signal suggests potential issues with audio quality, including echoes or distracting background music. Some learners found the deployment and DevOps processes difficult to follow. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
The content aligns well with the stated goals of beginners and aspiring data engineers.