What is the purpose of "data lineage" in compliance auditing?

Prepare for the Databricks Data Analyst Exam. Study complex datasets with multiple choice questions, updated content, and comprehensive explanations. Get ready for success!

Data lineage serves a crucial role in compliance auditing by tracking the movement and transformation of data as it flows through various stages of its lifecycle. This includes monitoring the origins of the data, any changes it undergoes, and its ultimate destination. Understanding data lineage is vital for organizations to ensure that they comply with regulatory requirements, as it provides transparency into the data's journey and helps to validate the integrity and accuracy of the data being used for decision-making.

By clearly outlining where data came from, how it has been altered, and where it is being applied, organizations can effectively demonstrate compliance with data protection regulations. This traceability aids in audits by providing a comprehensive view of data handling practices, which is essential for identifying potential risks, ensuring data quality, and addressing any discrepancies that may arise during audits.

Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy