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Big data concepts, theories, and applications / Shui Yu, Song Guo, editors.

By: Yu, Shui.
Contributor(s): Yu, Shui | Guo, Song | (Computer scientist) [editor.] | (Computer scientist) [editor.].
Material type: materialTypeLabelBookPublisher: Cham Springer, 2016Description: 1 online resource (viii, 437 pages) : illustrations (some color).ISBN: 9783319277639; 3319277634; 3319277618; 9783319277615.Subject(s): Computer science | Big data | COMPUTERS | COMPUTERS | Big data | Computer Science | Information Systems and Communication Service | Systems and Data Security | Computer Communication Networks | Computers | Computers | Computer security | Network hardware | Information systems | Computer security | Computer Communication Networks | Computers | Computer networking & communications | -- Online Services | -- Information Technology | | -- Security -- General | -- Hardware -- Network Hardware | | | -- Online Services -- General | Genre/Form: Electronic books.DDC classification: 005.7
Contents:
Big Continuous Data: Dealing with Velocity by Composing Event Streams Big Data Tools and Platforms Traffic Identification in Big Internet Data Security Theories and Practices for Big Data Rapid Screening of Big Data against Inadvertent Leaks Big Data Storage Security Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster Security and Privacy for Big Data Big Data Applications in Engineering and Sciences Geospatial Big Data for Environmental and Agricultural Applications Big Data in Finance Big Data Applications in Business Analytics.
Summary: This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in Read more...
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Big Continuous Data: Dealing with Velocity by Composing Event Streams
Big Data Tools and Platforms
Traffic Identification in Big Internet Data
Security Theories and Practices for Big Data
Rapid Screening of Big Data against Inadvertent Leaks
Big Data Storage Security
Cyber Attacks on MapReduce Computation Time in a Hadoop Cluster
Security and Privacy for Big Data
Big Data Applications in Engineering and Sciences
Geospatial Big Data for Environmental and Agricultural Applications
Big Data in Finance
Big Data Applications in Business Analytics.

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in Read more...

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