Azure Data Factory for Beginners - Build Data Ingestion - Creating Dynamic Datasets

The video tutorial explains how to make datasets dynamic and metadata-driven by replacing hardcoded values with parameters. It covers setting parameters for file paths, clearing hardcoded schemas, and reviewing data. The tutorial also demonstrates cloning datasets, configuring them for data lakes, and creating a dataset for source to target information. Finally, it discusses setting up batch details and concludes the lesson.

What is the role of the view created within the database as mentioned in the text?

Explain the importance of reviewing the data after selecting a source to target view.

What final steps are necessary to publish the data set as described in the text?

What is the process for creating a new data set from an existing one?