B. Santhosh Kumar

Guru Nanak Institute of Technology

Dr. B. Santhosh Kumar is a Professor and Head at Guru Nanak Institute of Technology, Hyderabad, India. He has 19 years of teaching and research experience. He obtained a BEng in Computer Science and Engineering from Bharathiar University, India, in 2004 and an MEng with a specialization in computer science and engineering from Anna University, India, in 2011. He also obtained a PhD from Anna University in 2018. Dr. Kumar is currently pursuing a post-doctoral fellowship at the University of Louisiana, USA, and a research fellowship at INTL International University, Malaysia. His research interests include data science, machine learning, blockchain technology, and data mining. He has 122 publications to his credit, including journal articles and conference publications. He has filed thirteen patents and one copyright. He has authored fourteen books and five book chapters. He has delivered numerous guest lectures, webinars, and keynote speeches and received eighteen awards from various professional bodies. He is a reviewer of more than 1200 papers for international journals and is a session chair for various international conferences. He is a senior member of the Institute of Electrical and Electronics Engineers (IEEE), appointed as an ACM Distinguished Speaker, a fellow member of the Institute of Engineers, and a life member of the Indian Society for Technical Education. Dr. Kumar was recognized as a 2019 Researcher of the Year by the World Book of Researchers.

B. Santhosh Kumar

2books edited

2chapters authored

Latest work with IntechOpen by B. Santhosh Kumar

Data integrity is the overall accuracy, completeness, and consistency of data. Data integrity also refers to the safety of data regarding regulatory compliance, such as GDPR compliance, and security. It is maintained by a collection of processes, rules, and standards implemented during the design phase. Data governance is the process of managing the availability, usability, integrity, and security of the data in enterprise systems, based on internal data standards and policies that also control data usage. Effective data governance ensures that data is consistent and trustworthy and does not get misused. This book provides a comprehensive overview of data integrity and data governance and their myriad applications.

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