Azure Data Factory for Beginners - Build Data Ingestion - Explaining the Source to Target Stored Procedure

The video tutorial explains the use of a source to target info stored procedure in Azure Data Studio. It covers the parameters required, such as system code and stage, and how they relate to metadata tables. The tutorial also describes different data layers in a data lake, including raw, trusted, and curated layers, and how to query metadata tables to understand data objects. The video concludes with a summary of the stored procedure's requirements.

What are the two input parameters required by the stored procedure discussed in the video?

• Business domain and Raw directory

• Source ID and Target ID

• System code and Stage

• File type and Directory path

Which data layer in a data lake stores data in its original format without any transformation?

• Business layer

• Raw layer

• Trusted layer

• Curated layer

What is the purpose of the trusted layer in a data lake?

• To store data for machine learning purposes

• To clean data of defects and conform to a common standard

• To store data in its original format

• To organize data by business domain

What information can be found in the data object metadata table?

• Source and target IDs

• System code and stage

• Data objects, their systems, file types, and directory paths

• Ingestion pipeline configurations

How is the directory structured in a data lake according to the video?

• By file type, then by system code

• By business domain, then by raw directory

• By target ID, then by trusted layer

• By stage, then by source ID