Big data : a primer / Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati, editors. - 1 online resource : color illustrations - eBooks on Demand Studies in big data, volume 11 2197-6511 ; . - Studies in big data ; v. 11. .

Includes bibliographical references and index.

1. Big Data: An Introduction --2. Big Data Architecture -- 3. Big Data Processing Algorithms -- 4. Big Data Search and Mining -- 5. Security and Privacy of Big Data -- 6. Big Data Service Agreement -- 7. Applications of Big Data -- Index.

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.

9788132224945 8132224949 8132224930 9788132224938

10.1007/978-81-322-2494-5 doi

com.springer.onix.9788132224945 Springer Nature

GBB959857 bnb

019321199 Uk

Big data.
COMPUTERS--Database Management--General.

Electronic books.

QA76.9.D32 / B54 2015