Azure Data Factory for Beginners - Build Data Ingestion - Write to Data Lake - Raw Plan

The video tutorial outlines the steps to handle a sync data set, starting with creating a finance container within a data engineering storage account. It explains the need for storage directories based on data type and introduces an event-driven data pipeline. The proposed storage structure is detailed, reflecting data delivery times. Finally, the creation of a sync data set with specific parameters is discussed.

What is the first step mentioned for handling the sync data set?

How will the storage directories be organized according to the type of data?

What does 'event driven' mean in the context of the data factory pipeline?

Describe the proposed storage structure for the data.

What parameters must the sync data set contain?