Intelligent Automation of Workforce Reporting Pipelines Using Scalable ETL  and Adaptive Data Validation Techniques

Rohith Balerao

Intelligent Automation of Workforce Reporting Pipelines Using Scalable ETL and Adaptive Data Validation Techniques

Authors

Rohith Balerao

Keywords:

Intelligent Automation, Workforce Reporting, Scalable ETL, Adaptive Data Validation, Data Pipeline Optimization

Abstract

Intelligent, scalable and automated workforce reporting systems have been developed to meet thefast-growing demand for enterprise data ecosystems. The survey mentioned in the report, "Challenges of Data Pipeline," also revealed how manual interventions and rigid validationmechanisms work against conventional reporting pipelines

References

Tenopir, C.; Rice, N.; Allard, S.L.; Baird, L.; Borycz, J.; Christian, L.; Grant, B.; Olendorf, R.; Sandusky, R.J. Data sharing, management, use, and reuse: Practices and perceptions of scientists worldwide. PLoS ONE 2020, 15, e0229003. [Google Scholar] [CrossRef] [PubMed]

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Published

2024-08-15

How to Cite

Rohith Balerao. (2024). Intelligent Automation of Workforce Reporting Pipelines Using Scalable ETL and Adaptive Data Validation Techniques . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 8928–8941. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5548