What various validations do you perform on the data after extraction?
-
NULL check
-
MetaData Check
-
Duplicate Check
-
Invalid Check
A,B,C,D
Correct answer
Explanation
Data validation after extraction requires multiple checks to ensure data quality. NULL check identifies missing values, MetaData Check verifies schema compliance, Duplicate Check removes redundant records, and Invalid Check identifies values that don't meet business rules or data type constraints. All four validations are essential components of ETL data quality processes.