What process involves amending or removing data in a database?

The choice of data scrubbing is correct because this process specifically refers to cleaning and improving data quality within a database. Data scrubbing, also known as data cleansing, involves identifying inaccuracies or inconsistencies in the data and taking steps to rectify them. This can include amending incorrect entries, removing duplicates, and ensuring that the data is accurate and useful for analysis.

Data masking, while important for protecting sensitive information, does not focus on amending or removing data but rather on obscuring specific data elements from view. Aggregation and banding refer to grouping data together for analysis or reporting, and anonymization involves altering data to protect the identities of individuals, but does not directly pertain to the correction of data entries. Therefore, the process that involves amending or removing data in a database is best described by the concept of data scrubbing.