DuplikatBekämpfung
DuplikatBekämpfung refers to the process of identifying and resolving duplicate records within a dataset or database. This is a crucial step in data management to ensure data accuracy, consistency, and integrity. Duplicate records can arise from various sources, including manual data entry errors, system integration issues, or data migration problems.
The primary goal of DuplikatBekämpfung is to eliminate redundancy and prevent issues that can arise from having
Common techniques employed in DuplikatBekämpfung include rule-based matching, fuzzy matching, and machine learning algorithms. Rule-based matching
The implementation of DuplikatBekämpfung typically involves several stages: data profiling to understand the data and identify