000 | 04270nam a22005535i 4500 | ||
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001 | 978-3-319-13497-0 | ||
003 | DE-He213 | ||
005 | 20200421111204.0 | ||
007 | cr nn 008mamaa | ||
008 | 150209s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319134970 _9978-3-319-13497-0 |
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024 | 7 |
_a10.1007/978-3-319-13497-0 _2doi |
|
050 | 4 | _aTK5105.5-5105.9 | |
072 | 7 |
_aUKN _2bicssc |
|
072 | 7 |
_aCOM075000 _2bisacsh |
|
082 | 0 | 4 |
_a004.6 _223 |
100 | 1 |
_aSrinivasa, K.G. _eauthor. |
|
245 | 1 | 0 |
_aGuide to High Performance Distributed Computing _h[electronic resource] : _bCase Studies with Hadoop, Scalding and Spark / _cby K.G. Srinivasa, Anil Kumar Muppalla. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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300 |
_aXVII, 304 p. 43 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aComputer Communications and Networks, _x1617-7975 |
|
505 | 0 | _aPart I: Programming Fundamentals of High Performance Distributed Computing -- Introduction -- Getting Started with Hadoop -- Getting Started with Spark -- Programming Internals of Scalding and Spark -- Part II: Case studies using Hadoop, Scalding and Spark -- Case Study I: Data Clustering using Scalding and Spark -- Case Study II: Data Classification using Scalding and Spark -- Case Study III: Regression Analysis using Scalding and Spark -- Case Study IV: Recommender System using Scalding and Spark. | |
520 | _aThis timely text/reference describes the development and implementation of large-scale distributed processing systems using open source tools and technologies such as Hadoop, Scalding and Spark. Comprehensive in scope, the book presents state-of-the-art material on building high performance distributed computing systems, providing practical guidance and best practices as well as describing theoretical software frameworks. Topics and features: Describes the fundamentals of building scalable software systems for large-scale data processing in the new paradigm of high performance distributed computing Presents an overview of the Hadoop ecosystem, followed by step-by-step instruction on its installation, programming and execution Reviews the basics of Spark, including resilient distributed datasets, and examines Hadoop streaming and working with Scalding Provides detailed case studies on approaches to clustering, data classification and regression analysis Explains the process of creating a working recommender system using Scalding and Spark Supplies a complete list of supplementary source code and datasets at an associated website Fulfilling the need for both introductory material for undergraduate students of computer science and detailed discussions for software engineering professionals, this book will aid a broad audience to understand the esoteric aspects of practical high performance computing through its use of solved problems, research case studies and working source code. K.G. Srinivasa is Professor and Head of the Department of Computer Science and Engineering at M.S. Ramaiah Institute of Technology (MSRIT), Bangalore, India. His other publications include the Springer title Soft Computing for Data Mining Applications. Anil Kumar Muppalla is also a researcher at MSRIT. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer communication systems. | |
650 | 0 | _aComputer programming. | |
650 | 0 | _aData mining. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aImage processing. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputer Communication Networks. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aImage Processing and Computer Vision. |
700 | 1 |
_aMuppalla, Anil Kumar. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319134963 |
830 | 0 |
_aComputer Communications and Networks, _x1617-7975 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-13497-0 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c54043 _d54043 |