Which method evaluates columns and identifies updated rows in data management?

Which method evaluates columns and identifies updated rows in data management?

• A. Document versioning
• B. Change capture methods
• C. Record systems
• D. Archival protocols

Answer: (B)

The method that evaluates columns and identifies updated rows in data management is change capture methods. This approach involves tracking changes made to data over time, allowing organizations to capture and understand how data evolves. Change capture methods can include various techniques such as database triggers, change data capture (CDC), or even using logging mechanisms that monitor specific columns for any modifications. These methods ensure that only the rows that have changed are identified, making it efficient for data analytics and reporting. By focusing on changes, organizations can minimize the amount of data that needs to be processed, leading to faster insights and a more streamlined data management process. In contrast, the other options do not specifically focus on identifying updated rows. Document versioning relates to maintaining different versions of documents rather than row-level changes in databases. Record systems typically are concerned with the storage and management of records, not specifically with tracking updates. Archival protocols are aimed at preserving data over the long term, which does not inherently involve the evaluation of changes in real-time data. Thus, change capture methods are specifically designed for the task of identifying and tracking updated rows efficiently.

The method that evaluates columns and identifies updated rows in data management is change capture methods. This approach involves tracking changes made to data over time, allowing organizations to capture and understand how data evolves. Change capture methods can include various techniques such as database triggers, change data capture (CDC), or even using logging mechanisms that monitor specific columns for any modifications.

These methods ensure that only the rows that have changed are identified, making it efficient for data analytics and reporting. By focusing on changes, organizations can minimize the amount of data that needs to be processed, leading to faster insights and a more streamlined data management process.

In contrast, the other options do not specifically focus on identifying updated rows. Document versioning relates to maintaining different versions of documents rather than row-level changes in databases. Record systems typically are concerned with the storage and management of records, not specifically with tracking updates. Archival protocols are aimed at preserving data over the long term, which does not inherently involve the evaluation of changes in real-time data. Thus, change capture methods are specifically designed for the task of identifying and tracking updated rows efficiently.