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A Lightweight Explainable Framework for Schema Matching and Data Fusion in Low-Code Data Engineering Pipelines
Low-code data engineering environments increasingly support rapid data ingestion, transformation, and integration, yet schema matching remains a persistent challenge when heterogeneous datasets use inconsistent naming conventions, limited metadata, and weak documentation. This study proposes a lightweight explainable framework for schema matching and data fusion in low-code data engineering pipelines. The framework i...
Volume 1, Issue 3 (December 2025) — Published Articles
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