Big Data Quality: A Systematic Literature Review

Big Data Quality: A Systematic Literature Review

Kishan Patel1, Madhvi  Bera2

1.      B.Tech Student, Department of CSE, Indus University, Ahmedabad, Gujarat, India

2.      Assistant Professor, Department of CSE, Indus University, Ahmedabad, Gujarat, India

Abstract:

Big data is the term for large data sets with larger, more varied and complex structures. Difficulties in collecting, analyzing and visualizing for further processes or results. This is the process of exploring large amounts of data to reveal hidden patterns and secrets. A correlation named as big data analytics. One of the most significant problems with Big Data is to gain knowledge through vast amounts of data. Usefulness of extracts Information depends heavily on data quality. In addition to importance, data has quality Recently considered by the big data community and there are none A comprehensive review was conducted in this area. Therefore, this is the main objective of the study to provide a systematic literature review for researchers interested in large Data quality topics. By carefully studying the selected papers, we propose a research tree that divides tasks based on process type, function and technology.