REVOLUTIONIZING ETL TESTING: A STRUCTURED APPROACH FOR ENHANCED QUALITY AND EFFICIENCY
DOI:
https://doi.org/10.34218/IJCET_16_01_199Keywords:
Automated Testing Framework, Data Quality Assurance, ETL Testing Methodology, Quality Control Metrics, Structured Testing ApproachAbstract
This article presents a comprehensive framework for revolutionizing Extract, Transform, Load (ETL) testing processes through structured methodologies and automated approaches. The article addresses critical challenges in traditional ETL testing, including inconsistent quality control, heavy reliance on individual expertise, inadequate documentation, and resource-intensive regression testing. The proposed framework introduces systematic test case documentation, synthetic data generation, and automated validation components, demonstrating significant improvements in testing efficiency and data quality across diverse industry sectors. Through the implementation of metadata-driven processes and quality-based evaluation models, organizations can achieve enhanced testing coverage, reduced maintenance effort, and improved scalability while maintaining rigorous quality standards in modern data integration environments.
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Copyright (c) 2025 Sujeeth Manchikanti Venkata Rama (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
