Metadata driven data quality checks using ETL framework

Mr. Raghavendar Nellikondi ,Mr. Reddaiah Kasturi

Metadata driven data quality checks using ETL framework

Authors

Mr. Raghavendar Nellikondi ,Mr. Reddaiah Kasturi

Keywords:

Data Quality, Metadata Management, ETL Framework, Data Governance, Data Validation, Data Integration.

Abstract

The quality of the data is a crucial part of obtaining accurate data and making smart businessdecisions these days. This article explains how metadata can be utilized to enable data quality checks in Extract, Transform, Load (ETL) systems. Conventional methods

References

Kemper, H.G.; Baars, H. Management Support with Structured and Unstructured Data—An Integrated Business Intelligence Framework. Inf. Syst. Manag. 2008, 25, 132–148. [Google Scholar]

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Published

2023-02-15

How to Cite

Mr. Raghavendar Nellikondi ,Mr. Reddaiah Kasturi. (2023). Metadata driven data quality checks using ETL framework. Journal of Computational Analysis and Applications (JoCAAA), 31(2), 692–711. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4684