Big Data
Springer, India, Private Ltd (Verlag)
978-81-322-3567-5 (ISBN)
Hrushikesha Mohanty is currently a professor at School of Computer and Information Sciences, University of Hyderabad. He received his Ph.D from IIT Kharagpur. His research interests include Distributed Computing, Software Engineering and Computational Social Science. Before joining University of Hyderabad, he worked at Electronics Corporation of India Limited for developing strategic real-time systems. Other than computer science research publications, he has penned three anthologies of Odia poems and several Odia short stories. Prachet Bhuyan is presently an associate professor at KIIT University. He completed his bachelor and master degrees in computer science and engineering from Utkal University and VTU, Belgaum respectively. His research interests include Service-Oriented Architecture, Software Testing, Soft computing and Grid Computing. Before coming to KIIT he has served in various capacities at Vemana Institute of Technology, Bangalore and abroad in Muscat, Oman. He has several publications in indexed journals as well as conferences. He has been generously awarded by several organisations including IBM for his professional competence. Deepak Chenthati is currently a senior software engineer at Teradata India Private Limited. His Industry experience includes working on Teradata Massively Parallel Processing systems, Teradata server management, Teradata JDBC drivers and administration of Teradata internal tools and confluence tool stack. His research interests include Web Services, Teradata and Database management. He is currently pursuing his doctorate from JNTU Hyderabad. He received his master and bachelor degrees in computer science from University of Hyderabad and Sri Venkateswaraya University respectively.
Big Data: An Introduction.- Big Data Architecture.- Big Data Processing Algorithms.- Big Data Search and Mining.- Security and Privacy of Big Data.- Big Data Service Agreement.- Applications of Big Data.
Erscheint lt. Verlag | 23.10.2016 |
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Reihe/Serie | Studies in Big Data ; 11 |
Zusatzinfo | 42 Illustrations, color; 6 Illustrations, black and white; XIV, 184 p. 48 illus., 42 illus. in color. |
Verlagsort | New Delhi |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Informatik ► Weitere Themen ► Hardware | |
Schlagworte | Big data applications • machine learning • map reduce • Mining Heterogeneous Data • Mining Massive Data • Pre-processing Big Data • Security in Big Data • Service Level Agreement • Social Networks and Big Data |
ISBN-10 | 81-322-3567-3 / 8132235673 |
ISBN-13 | 978-81-322-3567-5 / 9788132235675 |
Zustand | Neuware |
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