Big Data A Primer / [electronic resource] :
edited by Hrushikesha Mohanty, Prachet Bhuyan, Deepak Chenthati.
- XIV, 184 p. 48 illus., 42 illus. in color. online resource.
- Studies in Big Data, 11 2197-6503 ; .
- Studies in Big Data, 11 .
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.
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
10.1007/978-81-322-2494-5 doi
Computer science.
Data structures (Computer science).
Data mining.
Computational intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Data Storage Representation.
Computational Intelligence.
QA76.9.D343
006.312
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.
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
10.1007/978-81-322-2494-5 doi
Computer science.
Data structures (Computer science).
Data mining.
Computational intelligence.
Computer Science.
Data Mining and Knowledge Discovery.
Data Storage Representation.
Computational Intelligence.
QA76.9.D343
006.312