IIJ Technical WEEK Indexer Bullet によるビッグデータ解析
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1 Indexer Bullet IIJ Techweek2013 IIJ
2
3 Indexer Bullet ibullet u u u u
4 Indexer Bullet RDBMS Indexer Bullet
5 Indexer Bullet HTML GET/PUT/DELETE OUTLINK GET/PUT/DELETE Indexer Bullet
6 Indexer Bullet u Wikipedia u Wikipedia ibullet u l l CompaireAndSwap u
7 Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so every one claims they are doing it URL:
8 u u u u u
9
10 u u u u u
11 WorkSpace BigData CachedCopy BigData
12 WorkSpace Modeling Tool BigData CachedCopy BigData
13 WorkSpace BigData CachedCopy BigData Sampled Data Sampled Data Sampled Data
14 WorkSpace BigData CachedCopy BigData Modeling Tool Sampled Data Sampled Data Sampled Data
15 ibullet u u u u ibullet l
16 ibullet ibullet BigData CachedCopy BigData Modeling Tool co.jp/aaa/ HTTP Method A Method B Method C
17 ibullet ibullet BigData CachedCopy BigData co.jp/aaa/ A Modeling Tool a co.jp/bbb/ B Modeling Tool a b co.jp/ccc/ C Modeling Tool c a b
18 ibullet ibulleta BigDataA CachedCopy BigDataA ibulletc co.jp/aaa/ A Modeling Tool ibulletb BigDataB CachedCopy BigDataB
19 WikipediaPVC ibullet u Wikipedia u Wikipedia Wikipedia u Wikipedia Wikipedia Wikipedia Mediawiki u u Excel R
20 Wikipedia Count Page view statistics for Wikimedia projects u Wikimedia 2008 u Project> <PageTitle> HTTP <> <PageSize> u
21 Wikipedia Count Project: ja Namespace: 0
22 Wikipedia Page Data Wikimedia Downloads -- Database dump progress u u Wikipedia u XML Mediawiki TEXT> l jawiki-<date>-pages-articles.xml.bz2 jawiki /10/05 u 1,752,890 u 1,411, % u : 883, %
23 Wikipedia Wikipedia u u u l u u
24 Wikipedia u NHK u 20% l CHANGEJIN 15 20% l l or 10 15% l 5 10% l l or 5% l
25 Wikipedia
26 Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Drama Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia = Drama Drama Drama Drama
27 Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia Wikipedia
28 u u ts() or 168 u decompose(): u Trend seasonalrandom l l
29 r a t e Time
30 Decomposition of additive time series seasonal trend observed random Time
31 Decomposition of additive time series random seasonal trend observed Time
32 Decomposition of additive time series random seasonal trend observed Time
33 Decomposition of additive time series random seasonal trend observed Time
34 Decomposition of additive time series random seasonal trend observed Time
35 Decomposition of additive time series random seasonal trend observed Time
36
37 Indexer Bullet u u l l u ibullet
38 Wikipedia u l l u l l u l
39 Wikipedia u u Wikipedia Wikipedia l l l u l l Wikipedia
/27 (13 8/24) (9/27) (9/27) / / / /16 12
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ビッグデータを活用した取り組み
ビッグデータを活用した取り組み IIJ Techweek2014 2014/11/26 藤田昭人株式会社 IIJ イノベーションインスティテュート 1 2 はじめにー Project Gryfon の取り組み Project Gryfon u 当初 : クラウド基盤技術の研究開発を手がける u 現在 : 研究開発の軸足を 基盤技術 から ビッグデータ に移行中 ランキングによる ( ビッグ ) データの可視化
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ARMA Estimation on Process of ARMA Time Series Model Sanno University Bulletin Vol.26 No. 2 February 2006 ARMA Estimation on Process of ARMA Time Series Model Many papers and books have been published
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