Automated ETL Intelligence: Metadata-Orchestrated Framework with Rule-Based Heuristics for Monitoring and Reporting
Year: 2025
Type: article
Abstract: In the era of large-scale data ecosystems, ensuring adaptability, transparency, and operational intelligence in ETL (Extract, Transform, Load) pipelines is paramount. This paper introduces a metadata-driven, SQL-native ETL orchestration framework designed to automate data integration tasks while embedding observability and anomaly detection capabilities directly
Author: Srinubabu Kilaru
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414277338
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