Emerging Technologies Reshape Quality Assurance in Big Data Analytics [Video]

In a groundbreaking research paper published in the International Journal of Creative Research Thoughts, Kishan Patel, an independent researcher with extensive experience in quality assurance, explores the transformative innovations reshaping how we ensure data quality in the age of analytics. With 12 publications and 53 citations to his credit, the research provides valuable insights into the challenges and solutions emerging in this rapidly evolving field.

The Four Pillars of Modern Data Quality

The research highlights how quality assurance has evolved beyond traditional methods to address the “4V” attributes of big data: volume, velocity, variety, and veracity. These characteristics demand innovative approaches to ensure data reliability and accuracy. Modern quality assurance frameworks now incorporate sophisticated elements including accessibility, timeliness, authorization, and credibility metrics to maintain high standards across massive datasets.

Revolutionary Testing Approaches

Among the most significant innovations are new testing methodologies specifically designed for big data applications. These include metamorphic testing, which helps verify systems without traditional test oracles, and …