As Big Data and Data Analytics are advancing faster into our lives with practical applications being built around them and organizations leveraging the power of Big Data, it is important to glance sideways at the crucial factor of the success of Big Data, or almost any other applications, Software Quality Assurance.
The Recommendation, Prediction, and Decision systems have increased in popularity and have led to the demand for advancements and research in Big Data quality assurance space. There are a bunch of quality problems that lead to erroneous testing costs in the businesses and organizations. According to a research paper published by Chuanqi Tao and Jerry Gao on ResearchGate, Big Data application Quality Assurance covers the study of various assurance methods, processes, criteria, standards, and systems to make sure that the quality of the Big Data application or system adheres to a set of quality parameters.
Author: James Warner