Azure Data Factory for Beginners - Build Data Ingestion - Closing Remarks - Event-Driven Ingestion

The video tutorial covers the creation of a data ingestion pipeline that responds to events. It identifies several issues with the current solution, such as lack of file audit, absence of pipeline logging, no alerting system for failures, and limited support for CSV files only. The instructor encourages data engineers to address these problems by extending the framework to include comprehensive logging, alerting, and support for multiple file formats like JSON.

What are the main problems identified in the data ingestion pipeline?

How does the lack of audit control affect the ingestion of files?

What is the significance of having a logging system in the data pipeline?

Why is it important to have an alerting system for pipeline failures?

What changes would you propose to support multiple file formats in the pipeline?