Data Validation using ETL – A Theoretical Perspective

Abstract

Data is more readily available than ever, but when it is erroneous or insufficient, it can be challenging to interpret. As a result, data validation is essential to improving the quality of data for sound decision-making. The authors have discussed some of the most important concepts and challenges in data validation. It is obvious that human oversight cannot be completely removed from this process. Information priceless human qualities that cannot be taught. Humans are still cautious to take action on decisions that have not been validated by another person, despite today's highly advanced data validation technology or automated approaches. A data validation dashboard can be used by an expert data practitioner to monitor the complete data analysis procedure. The dashboard may make it easier for teams or project managers to assign tasks and resources while also more efficiently monitoring the progress and success of their work. This paper offers insightful discussions of the fundamental ideas, key points, and validation procedure for data validation and quality assurance. Additionally, the article compares several data validation technologies, and several significant industry players are explored. Additionally, the main problems, difficulties, and requirements are explored.