Which of the following best describes "change capture methods" in data management?

Which of the following best describes "change capture methods" in data management?

• A. The process of archiving old data for compliance
• B. Techniques for monitoring real-time data updates
• C. Methods for tracking updates via timestamps and logs
• D. Strategies for data deletion and cleanup

Answer: (C)

Change capture methods in data management refer to techniques that track updates to data over time to efficiently manage and respond to changes. These methods are crucial for applications where real-time data accuracy is needed, as they help organizations understand how data has evolved, ensuring that any transformations or changes are recorded and can be acted upon. The correct choice about tracking updates via timestamps and logs emphasizes the systematic approach of maintaining a record of when changes occurred and what those changes are. By utilizing timestamps and logs, organizations can maintain an audit trail, which facilitates data integrity and compliance with various regulations. This capability is essential for understanding the lineage of data, as it allows teams to respond to any discrepancies or issues in a timely manner. The other options do not capture the essence of change capture methods as effectively. Archiving old data for compliance doesn't specifically address the ongoing monitoring of changes. Techniques for monitoring real-time data updates are related but don’t specifically focus on the tracking aspect that timestamps and logs offer, while strategies for data deletion and cleanup focus on removing data rather than capturing and tracking changes to existing data. This highlights the central role that timestamps and logs play in providing a comprehensive picture of data change within an organization.

Change capture methods in data management refer to techniques that track updates to data over time to efficiently manage and respond to changes. These methods are crucial for applications where real-time data accuracy is needed, as they help organizations understand how data has evolved, ensuring that any transformations or changes are recorded and can be acted upon.

The correct choice about tracking updates via timestamps and logs emphasizes the systematic approach of maintaining a record of when changes occurred and what those changes are. By utilizing timestamps and logs, organizations can maintain an audit trail, which facilitates data integrity and compliance with various regulations. This capability is essential for understanding the lineage of data, as it allows teams to respond to any discrepancies or issues in a timely manner.

The other options do not capture the essence of change capture methods as effectively. Archiving old data for compliance doesn't specifically address the ongoing monitoring of changes. Techniques for monitoring real-time data updates are related but don’t specifically focus on the tracking aspect that timestamps and logs offer, while strategies for data deletion and cleanup focus on removing data rather than capturing and tracking changes to existing data. This highlights the central role that timestamps and logs play in providing a comprehensive picture of data change within an organization.