%0 Book %1 MohantyBhuyanChenthati2015 %B Studies in Big Data %C Cham %D 2015 %E Mohanty, Hrushikesha %E Bhuyan, Prachet %E Chenthati, Deepak %I Springer %K 01624 102 springer book ai enterprise business data pattern recognition analysis processing information retrieval zzz.big %R 10.1007/978-81-322-2494-5 %T Big Data: A Primer %V 11 %X 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. %@ 978-81-322-2493-8

@book{MohantyBhuyanChenthati2015, abstract = {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.}, added-at = {2017-04-09T09:04:37.000+0200}, address = {Cham}, biburl = {https://www.bibsonomy.org/bibtex/217fccad6544f80d339e18c08c498e669/flint63}, doi = {10.1007/978-81-322-2494-5}, editor = {Mohanty, Hrushikesha and Bhuyan, Prachet and Chenthati, Deepak}, file = {SpringerLink:2015/MohantyBhuyanChenthati2015.pdf:PDF;Springer Product Page:http\://www.springer.com/978-81-322-2493-8:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/8132224930/:URL}, groups = {public}, interhash = {987e57e8263f88d67633fdabbfe9a61d}, intrahash = {17fccad6544f80d339e18c08c498e669}, isbn = {978-81-322-2493-8}, issn = {2197-6503}, keywords = {01624 102 springer book ai enterprise business data pattern recognition analysis processing information retrieval zzz.big}, publisher = {Springer}, series = {Studies in Big Data}, timestamp = {2017-07-13T17:11:26.000+0200}, title = {Big Data: A Primer}, username = {flint63}, volume = 11, year = 2015 }