Verfügbarkeit: Guide to High Performance Distributed Computing

Guide to High Performance Distributed Computing: Case Studies with Hadoop, Scalding and Spark

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Bibliographische Detailangaben
1. Verfasser:	Srinivasa, K.G (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Cham Springer International Publishing 2015
Schriftenreihe:	Computer Communications and Networks
Schlagworte:	Programmierung Informatik Künstliche Intelligenz Maschinelles Sehen Wissensextraktion Data Mining
Online-Zugang:	BTU01 FHA01 FHI01 FHM01 FHN01 FKE01 FLA01 FRO01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Abstract Inhaltsverzeichnis
Beschreibung:	1 Online-Ressource (XVII, 304 p.) Ill.
ISBN:	9783319134970
ISSN:	1617-7975
DOI:	10.1007/978-3-319-13497-0

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adam_text	GUIDE TO HIGH PERFORMANCE DISTRIBUTED COMPUTING / SRINIVASA, K.G. : 2015 ABSTRACT / INHALTSTEXT THIS 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. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. GUIDE TO HIGH PERFORMANCE DISTRIBUTED COMPUTING / SRINIVASA, K.G. : 2015 TABLE OF CONTENTS / INHALTSVERZEICHNIS PART 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 DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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psigel	ZDB-2-SCS ZDB-2-SCS_2015
publishDate	2015
publishDateSearch	2015
publishDateSort	2015
publisher	Springer International Publishing
record_format	marc
series2	Computer Communications and Networks
spelling	Srinivasa, K.G. Verfasser aut Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark by K.G. Srinivasa, Anil Kumar Muppalla Cham Springer International Publishing 2015 1 Online-Ressource (XVII, 304 p.) Ill. txt rdacontent c rdamedia cr rdacarrier Computer Communications and Networks 1617-7975 Programmierung (DE-588)4076370-5 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Informatik (DE-588)4026894-9 s Data Mining (DE-588)4428654-5 s Künstliche Intelligenz (DE-588)4033447-8 s Maschinelles Sehen (DE-588)4129594-8 s Programmierung (DE-588)4076370-5 s Wissensextraktion (DE-588)4546354-2 s DE-604 Muppalla, Anil Kumar Sonstige oth Erscheint auch als Druckausgabe 978-3-319-13496-3 https://doi.org/10.1007/978-3-319-13497-0 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027823077&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Abstract Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027823077&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Srinivasa, K.G Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark Programmierung (DE-588)4076370-5 gnd Informatik (DE-588)4026894-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd
subject_GND	(DE-588)4076370-5 (DE-588)4026894-9 (DE-588)4033447-8 (DE-588)4129594-8 (DE-588)4546354-2 (DE-588)4428654-5
title	Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark
title_auth	Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark
title_exact_search	Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark
title_full	Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark by K.G. Srinivasa, Anil Kumar Muppalla
title_fullStr	Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark by K.G. Srinivasa, Anil Kumar Muppalla
title_full_unstemmed	Guide to High Performance Distributed Computing Case Studies with Hadoop, Scalding and Spark by K.G. Srinivasa, Anil Kumar Muppalla
title_short	Guide to High Performance Distributed Computing
title_sort	guide to high performance distributed computing case studies with hadoop scalding and spark
title_sub	Case Studies with Hadoop, Scalding and Spark
topic	Programmierung (DE-588)4076370-5 gnd Informatik (DE-588)4026894-9 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd
topic_facet	Programmierung Informatik Künstliche Intelligenz Maschinelles Sehen Wissensextraktion Data Mining
url	https://doi.org/10.1007/978-3-319-13497-0 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027823077&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027823077&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT srinivasakg guidetohighperformancedistributedcomputingcasestudieswithhadoopscaldingandspark AT muppallaanilkumar guidetohighperformancedistributedcomputingcasestudieswithhadoopscaldingandspark

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