Data Management, Engineering, Quality.
Data Data engineering transforms raw data into a usable format through essential stages: Collection: Gather data from diverse sources, aligning with objectives. Cleansing: Rectify error-ridden, corrupt, or inaccurately typed data. Processing: Organize, tabulate, and compile cleaned data.