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Data Cleaning Steps in Data Governance

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Questions and Answers

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?

Completeness, accuracy, consistency, timeliness, uniqueness, validity

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?

Identify failures, investigate discrepancies, implement corrective actions Signup and view all the answers

What does data profiling involve?

Understanding data structure, content, and quality characteristics Signup and view all the answers

How are data anomalies identified?

By recognizing patterns and distributions Signup and view all the answers

Why is it important to document data quality rules?

To maintain rules in a data dictionary or repository Signup and view all the answers

What is the purpose of performing data validation?

To ensure data quality at regular intervals, monitor metrics, and generate reports Signup and view all the answers

What are some examples of data cleansing processes for handling validation failures?

Corrective actions, data cleansing, data enrichment Signup and view all the answers

How can Python libraries be used for data cleaning?

By leveraging tools and libraries to automate cleaning processes Signup and view all the answers