data transformation: apply various transformations to different data pieces to ensure they correspond to given tasks. transformations may include removing inaccurate or corrupted data; aggregating data items into a summarized version; filtering information to get rid of irrelevant, duplicated, or overly sensitive data; joining two or more database tables by their matching attributes; and splitting a single column into multiple ones, to name a few.
data documentation: maintaining data documentation to ensure that everyone on the team uses the same definitions and language defining data quality rules...