What is Data Cleansing?
12/06/2022 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
Data cleansing is a technique used to clean databases to eliminate erroneous, incomplete or inaccurate data. It also includes correcting formatting errors, enabling data integration, removing duplicates, and softening or adjusting non-standard data. Data cleansing is an important part of extract-transform-load (ETL) processes, where data is imported into a database from multiple sources and then stored in a user-friendly format.