Apache spark graph processing: build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK
Packt Publishing
[2015]
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Schriftenreihe: | Community experience distilled
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Schlagworte: | |
Beschreibung: | Online resource; title from cover page (Safari, viewed September 28, 2015) |
Beschreibung: | 1 online resource (1 volume) illustrations |
ISBN: | 9781784398958 1784398950 |
Internformat
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245 | 1 | 0 | |a Apache spark graph processing |b build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark |c Rindra Ramamonjison ; foreword by Denny Lee |
246 | 1 | 3 | |a Build, process, and analyze large-scale graphs with Spark |
246 | 1 | 1 | |a Build, process, and analyze large-scale graphs with Spark |
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300 | |a 1 online resource (1 volume) |b illustrations | ||
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490 | 0 | |a Community experience distilled | |
500 | |a Online resource; title from cover page (Safari, viewed September 28, 2015) | ||
505 | 8 | |a Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; Building a weighted social ego network; Computing the degrees of the network nodes; In-degree and out-degree of the Enron email network; Degrees in the bipartite food network; Degree histogram of the social ego networks; Summary; Chapter 3: Graph Analysis and Visualization; Network datasets | |
630 | 0 | 4 | |a Spark (Electronic resource : Apache Software Foundation) |
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Datensatz im Suchindex
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any_adam_object | |
author | Ramamonjison, Rindra |
author_facet | Ramamonjison, Rindra |
author_role | aut |
author_sort | Ramamonjison, Rindra |
author_variant | r r rr |
building | Verbundindex |
bvnumber | BV045351344 |
collection | ZDB-4-ITC |
contents | Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; Building a weighted social ego network; Computing the degrees of the network nodes; In-degree and out-degree of the Enron email network; Degrees in the bipartite food network; Degree histogram of the social ego networks; Summary; Chapter 3: Graph Analysis and Visualization; Network datasets |
ctrlnum | (ZDB-4-ITC)ocn922580769 (OCoLC)922580769 (DE-599)BVBBV045351344 |
dewey-full | 006.3/12 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3/12 |
dewey-search | 006.3/12 |
dewey-sort | 16.3 212 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
format | Electronic eBook |
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id | DE-604.BV045351344 |
illustrated | Illustrated |
indexdate | 2024-07-10T08:15:42Z |
institution | BVB |
isbn | 9781784398958 1784398950 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030737997 |
oclc_num | 922580769 |
open_access_boolean | |
physical | 1 online resource (1 volume) illustrations |
psigel | ZDB-4-ITC |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Packt Publishing |
record_format | marc |
series2 | Community experience distilled |
spelling | Ramamonjison, Rindra Verfasser aut Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark Rindra Ramamonjison ; foreword by Denny Lee Build, process, and analyze large-scale graphs with Spark Birmingham, UK Packt Publishing [2015] 2015 1 online resource (1 volume) illustrations txt rdacontent c rdamedia cr rdacarrier Community experience distilled Online resource; title from cover page (Safari, viewed September 28, 2015) Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; Building a weighted social ego network; Computing the degrees of the network nodes; In-degree and out-degree of the Enron email network; Degrees in the bipartite food network; Degree histogram of the social ego networks; Summary; Chapter 3: Graph Analysis and Visualization; Network datasets Spark (Electronic resource : Apache Software Foundation) Spark (Electronic resource : Apache Software Foundation) fast COMPUTERS / General bisacsh Electronic data processing fast Graphic methods / Computer programs fast Graphic methods Computer programs Electronic data processing Lee, Denny Sonstige oth Erscheint auch als Druck-Ausgabe Ramamonjison, Rindra Apache Spark Graph Processing Birmingham : Packt Publishing Ltd, 2015 9781784391805 |
spellingShingle | Ramamonjison, Rindra Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark Chapter 2: Building and Exploring Graphs; Network datasets; The communication network; Flavor networks; Social ego networks; Graph builders; The Graph factory method; edgeListFile; fromEdges; fromEdgeTuples; Building graphs; Building directed graphs; Building a bipartite graph; Building a weighted social ego network; Computing the degrees of the network nodes; In-degree and out-degree of the Enron email network; Degrees in the bipartite food network; Degree histogram of the social ego networks; Summary; Chapter 3: Graph Analysis and Visualization; Network datasets Spark (Electronic resource : Apache Software Foundation) Spark (Electronic resource : Apache Software Foundation) fast COMPUTERS / General bisacsh Electronic data processing fast Graphic methods / Computer programs fast Graphic methods Computer programs Electronic data processing |
title | Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark |
title_alt | Build, process, and analyze large-scale graphs with Spark |
title_auth | Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark |
title_exact_search | Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark |
title_full | Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark Rindra Ramamonjison ; foreword by Denny Lee |
title_fullStr | Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark Rindra Ramamonjison ; foreword by Denny Lee |
title_full_unstemmed | Apache spark graph processing build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark Rindra Ramamonjison ; foreword by Denny Lee |
title_short | Apache spark graph processing |
title_sort | apache spark graph processing build process and analyze large scale graphs with spark build process and analyze large scale graphs with spark |
title_sub | build, process, and analyze large-scale graphs with Spark = Build, process, and analyze large-scale graphs with Spark |
topic | Spark (Electronic resource : Apache Software Foundation) Spark (Electronic resource : Apache Software Foundation) fast COMPUTERS / General bisacsh Electronic data processing fast Graphic methods / Computer programs fast Graphic methods Computer programs Electronic data processing |
topic_facet | Spark (Electronic resource : Apache Software Foundation) COMPUTERS / General Electronic data processing Graphic methods / Computer programs Graphic methods Computer programs Electronic data processing |
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