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 is one of the initial activities explored in the data ingestion pipeline?

• Data encryption

• Meter data retrieval

• Data visualization

• Data archiving

What is a major issue with the current data ingestion pipeline?

• It lacks a user interface

• It does not support real-time data

• There is no audit of ingested files

• It is too expensive to maintain

Why is pipeline logging important?

• To reduce data storage costs

• To improve data encryption

• To enhance user experience

• To track pipeline execution for reporting and monitoring

What alerting mechanism is suggested for pipeline failures?

• E-mail alerts

• In-app notifications

• SMS alerts

• Push notifications

What is the suggested approach to solve the pipeline's limitations?

• Switching to a different programming language

• Hiring more data engineers

• Using metadata-driven pipelines

• Implementing a new database