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Programming Big Data Applications: Scalable Tools And Frameworks For Your Needs

By: Domenico Talia,Paolo Trunfio,Fabrizio Marozzo,Loris Belcastro,Riccardo Cantini,Alessio Orsino

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Programming Big Data Applications: Scalable Tools And Frameworks For Your Needs

By: Domenico Talia,Paolo Trunfio,Fabrizio Marozzo,Loris Belcastro,Riccardo Cantini,Alessio Orsino

In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security cameras. These data, commonly referred to as big data, are challenging current storage, processing and analysis capabilities. New models, languages, systems and algorithms continue to be developed to effectively collect, store, analyze and learn from big data.Programming Big Data Applications introduces and discusses models, programming frameworks and algorithms to process and analyze large amounts of data. In particular, the book provides an in-depth description of the properties and mechanisms of the main programming paradigms for big data analysis, including MapReduce, workflow, BSP, message passing, and SQL-like. Through programming examples it also describes the most used frameworks for big data analysis like Hadoop, Spark, MPI, Hive and Storm. Each of the different systems is discussed and compared, highlighting their main features, their diffusion (both within their community of developers and among users), and their main advantages and disadvantages in implementing big data analysis applications.

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Page Count

296

Publisher

World Scientific

Published Date

ISBN 10

180061506X

ISBN 13

9781800615069

Programming Big Data Applications: Scalable Tools And Frameworks For Your Needs

By: Domenico Talia,Paolo Trunfio,Fabrizio Marozzo,Loris Belcastro,Riccardo Cantini,Alessio Orsino

Write a review Read reviews Take a Quiz Solve Book Puzzle

Programming Big Data Applications: Scalable Tools And Frameworks For Your Needs

By: Domenico Talia,Paolo Trunfio,Fabrizio Marozzo,Loris Belcastro,Riccardo Cantini,Alessio Orsino

In the age of the Internet of Things and social media platforms, huge amounts of digital data are generated by and collected from many sources, including sensors, mobile devices, wearable trackers and security cameras. These data, commonly referred to as big data, are challenging current storage, processing and analysis capabilities. New models, languages, systems and algorithms continue to be developed to effectively collect, store, analyze and learn from big data.Programming Big Data Applications introduces and discusses models, programming frameworks and algorithms to process and analyze large amounts of data. In particular, the book provides an in-depth description of the properties and mechanisms of the main programming paradigms for big data analysis, including MapReduce, workflow, BSP, message passing, and SQL-like. Through programming examples it also describes the most used frameworks for big data analysis like Hadoop, Spark, MPI, Hive and Storm. Each of the different systems is discussed and compared, highlighting their main features, their diffusion (both within their community of developers and among users), and their main advantages and disadvantages in implementing big data analysis applications.

Average ratings

N/A

5

0%

4

0%

3

0%

2

0%

1

0%

Solve jigsaw puzzle

Age

Page Count

296

Publisher

World Scientific

Published Date

ISBN 10

180061506X

ISBN 13

9781800615069