With the proliferation of information, big data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge. Big data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of big data; from the preliminary level to specific case studies. It will help readers gain knowledge of the big data landscape. Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of big data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a big data management system. Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using machine learning techniques, Spark's scalable machine learning techniques, modeling a big data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing big data and its applications including in healthcare and finance.
Brij B Gupta is Director of the International Center for AI and Cyber Security Research and Innovations, and Distinguished Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. In more than 17 years of his professional experience, he published over 500 papers in journals/conferences, including 35 books and 12 Patents with over 25,000 citations. He has received numerous national and international awards, including the Canadian Commonwealth Scholarship (2009), Faculty Research Fellowship Award (2017), the Visvesvaraya Young Faculty Research Fellowship Award from the Indian Ministry of Electronics and Information Technology, Government of India, the IEEE GCCE outstanding and Women in Engineering (WIE) paper awards, and National Institute of Technology Kurukshetra, India's Best Faculty Award (2018 and 2019), respectively. Prof. Gupta was selected for Clarivate's Web of Science Highly Cited Researchers in Computer Science (top 0.1% researchers in the world) consecutively in 2022 and 2023. He was also listed in Stanford University's ranking of the world's top 2% of scientists in 2020, 2021, 2022 and 2023.
Dr Gupta is also a visiting/adjunct professor with several universities worldwide, and an IEEE Senior Member (2017). He was selected as the 2021 Distinguished Lecturer in IEEE Consumer Technology Society (CTSoc). Dr Gupta is also serving as Member-at-Large of IEEE Consumer Technology Society's Board of Governors (2022–2024). He is also Editor-in-Chief of the International Journal on Semantic Web and Information Systems, International Journal of Software Science and Computational Intelligence, Sustainable Technology and Entrepreneurship and International Journal of Cloud Applications and Computing, lead-editor of a Book Series with CRC and IET press, and Associate/Guest Editor of various journals and transactions. He also served as a member of the technical program committee of more than 150 international conferences. His research interests include information security, cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking.
Mamta received her BTech (with honors) in computer engineering in 2011 from the University Institute of Engineering and Technology, Kurukshetra University, India, and her MTech in computer engineering (with distinction) in 2014 from the National Institute of Technology, Kurukshetra, India. She received her PhD in computer engineering from the National Institute of Technology, Kurukshetra, India, in 2020. At present, Dr Mamta is an assistant professor in the Department of Computer Science and Engineering at Punjab Engineering College, Chandigarh, India. Her research interests include applied cryptography, searchable encryption, information security, big data security, and cloud computing. She has published several research articles with various reputed publishers, including IEEE, Springer, and Wiley.
