adattisztítással
Adattisztítás, often translated as data cleansing or data scrubbing, is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, database or database. This process is performed to identify incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or superfluous data.
The goal of data cleansing is to improve the quality of data for better decision-making, analysis, and
Common data quality issues that data cleansing addresses include missing values, duplicate records, inconsistent formats, invalid
The process typically involves several steps: profiling the data to understand its structure and identify potential