Overview
- Introduces the subject to new entrants to the field, especially students at the senior undergraduate and graduate level
- Introduces emerging computing paradigms for next generation Unstructured Data processing
- Includes easy to understand the concepts and techniques, scalable algorithms to support Big Data analytics and techniques for Big Data search Processing
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 11)
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Table of contents (7 chapters)
Keywords
About this book
This book is a collection of chapters written by experts on various aspects of big data. The book aims to explain what big data is and how it is stored and used. The book starts from  the fundamentals and builds up from there. It is intended to serve as a review of the state-of-the-practice in the field of big data handling. The traditional framework of relational databases can no longer provide appropriate solutions for handling big data and making it available and useful to users scattered around the globe. The study of big data covers a wide range of issues including management of heterogeneous data, big data frameworks, change management, finding patterns in data usage and evolution, data as a service, service-generated data, service management, privacy and security. All of these aspects are touched upon in this book. It also discusses big data applications in different domains. The book will prove useful to students, researchers, and practicing database and networking engineers.
Editors and Affiliations
About the editors
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.
Bibliographic Information
Book Title: Big Data
Book Subtitle: A Primer
Editors: Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-81-322-2494-5
Publisher: Springer New Delhi
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer India 2015
Hardcover ISBN: 978-81-322-2493-8Published: 10 July 2015
Softcover ISBN: 978-81-322-3567-5Published: 23 October 2016
eBook ISBN: 978-81-322-2494-5Published: 29 June 2015
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: XIV, 184
Number of Illustrations: 6 b/w illustrations, 42 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Data Storage Representation, Computational Intelligence