Big data [electronic resource] : a primer / Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati, editors.
Mohanty, Hrushikesha, editor.; Bhuyan, Prachet, editor.; Chenthati, Deepak, editor.
2015
QA76.9.D32
Available Online

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Title Big data [electronic resource] : a primer / Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati, editors.
ISBN 9788132224945 electronic book
8132224949 electronic book
9788132224938
Published New Delhi : Springer, 2015.
Language English
Description 1 online resource : color illustrations.
Call Number QA76.9.D32
Dewey Decimal Classification 005.74
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (viewed July 2, 2015).
Added Author Mohanty, Hrushikesha, editor.
Bhuyan, Prachet, editor.
Chenthati, Deepak, editor.
Series Studies in big data ; v. 11.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
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.

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