Podcast
Questions and Answers
What is the scope of data validation?
What is the scope of data validation?
Data sources, data elements, and validation criteria
What are some data quality rules specified based on business requirements?
What are some data quality rules specified based on business requirements?
Completeness, accuracy, consistency, timeliness, uniqueness, validity
How can data validation checks be implemented?
How can data validation checks be implemented?
Developing validation checks, automating using tools, frameworks, or libraries, validating against predefined rules
What should be done when validation failures occur?
What should be done when validation failures occur?
What does data profiling involve?
What does data profiling involve?
How are data anomalies identified?
How are data anomalies identified?
Why is it important to document data quality rules?
Why is it important to document data quality rules?
What is the purpose of performing data validation?
What is the purpose of performing data validation?
What are some examples of data cleansing processes for handling validation failures?
What are some examples of data cleansing processes for handling validation failures?
How can Python libraries be used for data cleaning?
How can Python libraries be used for data cleaning?