Automated Data Transformation Using Intelligent Rule-Based Systems
This paper explores automated data transformation using intelligent rule-based systems to address the limitations of traditional ETL processes, which are often manual, rigid, and error-prone. The proposed approach integrates rule-based reasoning with metadata-driven transformation to handle complex data from heterogene...