Azure Data Factory for Beginners - Build Data Ingestion - Trigger Event-Based Ingestion

The video tutorial covers setting up and testing event-driven ingestion using Azure Data Factory and a storage account. It guides through opening necessary viewpoints, testing the ingestion process by uploading files, and reviewing the results in the Data Lake. The tutorial concludes with a call to identify potential issues for future discussion.

What is the first step in setting up event-driven ingestion in Azure?

• Identify potential issues in the process.

• Check the directory structure in the Data Lake.

• Upload files to the web store storage account.

• Open Azure Data Factory and navigate to monitor pipelines and triggers.

Which file is uploaded first to test the event-driven ingestion?

• data.csv

• department.csv

• report.csv

• finance.csv

What should you do after uploading the first file to the storage account?

• Upload another file to the storage account.

• Check the directory structure in the Data Lake.

• Identify potential issues in the process.

• Navigate to Azure Data Factory and refresh to see if the pipeline has started.

What is the purpose of navigating to the Data Lake after testing the ingestion?

• To upload more files.

• To verify the directory structure and check the presence of uploaded files.

• To delete unnecessary files.

• To configure new pipelines.

What is the final task suggested by the instructor in the video?

• Create new pipelines in Azure Data Factory.

• Upload additional files to the storage account.

• Discuss the process with peers.

• Identify and note down potential issues in the process.