Azure Data Factory for Beginners - Build Data Ingestion - Data Factory Pipeline Plan

The video tutorial explains the setup of a data factory pipeline, starting with reading data from Azure BLOB storage. It discusses the need for parameters to identify the source container and file type, specifically CSV. The tutorial covers reading metadata from a finance container to determine file details, such as the last modified date, for filtering purposes. The final steps involve processing and ingesting CSV files into the data lake. The video concludes with a note to continue technical implementation in the next lecture.

What is the purpose of reading data from the Azure BLOB storage in the pipeline?

What kind of data does the metadata describe in the context of the finance container?

How does the pipeline determine which files to keep for processing?

What specific type of files does the pipeline process and ingest?

What is the final step of the pipeline as described in the text?