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ryshinoz id:ryshinoz

hadoopã«é–¢ã™ã‚‹ryshinozã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (58)

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Javaã§MapReduceã‚’æ›¸ãã“ã¨ãŒå‡ºæ¥ãªã„å•é¡Œå…ãŒPigã®ãƒ‡ãƒ¼ã‚¿æ§‹é€ ã‚’èª¿æŸ»ã—ã¾ã—ãŸ - Y's note
Programming Pig ä½œè€…: Alan Gateså‡ºç‰ˆç¤¾/ãƒ¡ãƒ¼ã‚«ãƒ¼: O'Reilly Mediaç™ºå£²æ—¥: 2011/09/29ãƒ¡ãƒ‡ã‚£ã‚¢: Kindleç‰ˆã“ã®å•†å“ã‚’å«ã‚€ãƒ–ãƒã‚° (1ä»¶) ã‚’è¦‹ã‚‹ æœ¬å½“ã¯Javaã§æ›¸ããŸã„ã€‚ã‘ã©ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã‚„å¤šæ®µMapReduceã¯é¢å€’ãªã®ã§ ã¾ãšã¯åƒ•ã®é¢å€’ãã•ãŒã‚Šãªæ€§æ ¼ã¨ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã®è©±ã€‚10å¹´å‰ã¯Javaã§Webã‚¢ãƒ—ãƒªã‚’æ›¸ã„ã¦ã„ã¾ã—ãŸãŒã€å°±è·ã—ã¦Scriptè¨€èªžã‚’ã°ã‚Šã°ã‚Šä½¿ã£ã¦ã„ãŸæ™‚æœŸãŒé•·ãç¶šã„ãŸã®ã§Javaã‹ã‚‰é ã–ã‹ã£ã¦ã—ã¾ã„ã¾ã—ãŸã€‚ã‚‚ã¨ã‚‚ã¨Javaã®ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ãŒå«Œã„ã§ã€ç’°å¢ƒã‚’æ•´ãˆãŸã‚Šç›´ãã«å‹•ä½œç¢ºèªãŒã§ããªã‹ã£ãŸã‚Šã€‚ã‚¹ãƒ”ãƒ¼ãƒ‰ã‚’æ±‚ã‚ã‚‰ã‚Œã‚‹å˜ç´”ä½œæ¥ãŒãã®é¢å€’ãªäº‹ã«ã‚ˆã£ã¦æ™‚é–“ãŒå‰Šã‚‰ã‚Œã‚‹ã“ã¨ã‚’å«Œã£ã¦ã„ã¾ã™ã€‚(è‡ªåˆ†ã§ã‚‚è‰¯ããªã„ã“ã¨ã ã¨æ€ã£ã¦ã„ã¾ã™ã®ã§ã€ä»Šå¾Œã¯æ™‚é–“ãŒæœ‰ã‚‹ã¨ãã«Javaã‚’æ›¸ã„ã¦ã¿ã¾ã™)Java MapReduceã¯æŸ”è»Ÿã§ã‚ã‚Šé€Ÿåº¦çš„ã«ã‚‚é€Ÿã„ã“
ryshinoz 2013/01/28
hadoop

pig
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Cloudera Enterprise RTQ
Why Cloudera Hadoop & Big Data Doug Cutting, Cloudera's Chief Architect, wrote Apache Hadoop in 2006. Learn about Hadoop and its impact on Big Data. Our Customers See a selection of Cloudera customers and how they use Cloudera to ask bigger questions of all their data. FAQs We answer some of your most popular questions about Cloudera and our techno logy. Blog Explore thought, technical, and communi
ryshinoz 2012/10/25
hadoop
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Cloudera Impala ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸ - ç§‘å¦ã¨éžç§‘å¦ã®è¿·å®®
(2012/10/25 15:48 è¿½è¨˜) Cloudera å…¬å¼ãƒ–ãƒã‚°ã§ Impala ã«ã¤ã„ã¦ã®ç´¹ä»‹è¨˜äº‹ã‚’æŽ²è¼‰ã—ã¾ã—ãŸã€‚ã“ã®ãƒ–ãƒã‚°è¨˜äº‹ã®å®Œå…¨ä¸Šä½äº’æ›ãªã®ã§ãã¡ã‚‰ã®è¨˜äº‹ã‚’ã”å‚ç…§ãã ã•ã„ã€‚ Cloudera Impalaï¼šApache Hadoopã§å®Ÿç¾ã™ã‚‹ã€çœŸã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã‚¯ã‚¨ãƒª | Hadoopã¨ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã®ãƒªãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ã‚«ãƒ³ãƒ‘ãƒ‹ãƒ¼ | Cloudera Japan Cloudera ã‹ã‚‰ã€ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆã®ãŸã‚ã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã‚¯ã‚¨ãƒªã‚¨ãƒ³ã‚¸ãƒ³ã€ŒImpalaã€ãŒãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã¾ã—ãŸã€‚Hive ã¨å®Œå…¨äº’æ›ã®ã‚¯ã‚¨ãƒªè¨€èªžã§ã€Hive ã‚ˆã‚Š10å€ä»¥ä¸Šé€Ÿãã‚¯ã‚¨ãƒªã‚’å‡¦ç†ã§ãã¾ã™ã€‚ æ¦‚è¦åŠã³ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã¯ã“ã¡ã‚‰ã‹ã‚‰! http://www.cloudera.com/content/cloudera/en/products/cloudera-enterprise-core/clouder
ryshinoz 2012/10/25
hadoop
ãƒªãƒ³ã‚¯
Cloudera | ãƒã‚¤ãƒ–ãƒªãƒƒãƒ‰ãƒ‡ãƒ¼ã‚¿ã‚«ãƒ³ãƒ‘ãƒ‹ãƒ¼
ãƒ‡ãƒ¼ã‚¿ã‚’ä¿¡é ¼ã—ã€AI ã‚’ä¿¡é ¼ã™ã‚‹ ä¿¡é ¼ã§ãã‚‹ãƒ‡ãƒ¼ã‚¿ã€ä¿¡é ¼ã§ãã‚‹ãƒ¢ãƒ‡ãƒ«ã€ä¿¡é ¼ã§ãã‚‹ AI ã‚’å®Ÿç¾ã™ã‚‹ãŸã‚ã«ã€ã“ã‚Œã»ã©å¤šãã®ã‚¯ãƒ©ã‚¦ãƒ‰ã®ã•ã¾ã–ã¾ãªãƒ‡ãƒ¼ã‚¿ã‚¿ã‚¤ãƒ—ã‚’ç®¡ç†ã§ãã€ã‚ªãƒ¼ãƒ—ãƒ³ãƒ‡ãƒ¼ã‚¿ã®ã‚¤ãƒŽãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã¨å¤§è¦æ¨¡å±•é–‹ã«å¯¾å¿œã§ãã‚‹ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã¯ä»–ã«ã‚ã‚Šã¾ã›ã‚“ã€‚
ryshinoz 2012/10/10
hadoop
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Scalable Machine Learning with Hadoop
This document discusses scala ble machine learning using Apache Hadoop and Apache Mahout. It describes what scala ble machine learning means in the context of large datasets, provides examples of common machine learning use cases like search and recommendations, and outlines approaches for scaling machine learning algorithms using Hadoop. It also describes the capabilities of the Apache Mahout machi
ryshinoz 2012/10/04
hadoop
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Cloudera Blog
In an era where artificial intelligence (AI) is reshaping enterprises across the globeâ€”be it in healthcare, finance, or manufacturingâ€”itâ€™s hard to overstate the transf ormation that AI has had on businesses, regardless of industry or size. At Cloudera, we recognize the urgent need for bold steps to harness this potential and dramatically accelerate the time to [â€¦] Read blog post
ryshinoz 2012/09/23
hadoop
ãƒªãƒ³ã‚¯
ã€Œã‚«ã‚¸ãƒ¥ã‚¢ãƒ«ã€ãªè¦æ¨¡ã®ãƒ‡ãƒ¼ã‚¿ã‚¯ãƒ©ã‚¹ã‚¿ãƒ¼ä¸Šã§ã®ãƒ‡ãƒ¼ã‚¿è§£æžå‡¦ç† Â« NAVER Engineers' Blog
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ryshinoz 2012/09/11
hadoop
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ã€ŒProject Prismã€ï¼šãƒ•ã‚§ã‚¤ã‚¹ãƒ–ãƒƒã‚¯ãŒè¶…ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã«æŒ‘ã‚€
ryshinoz 2012/08/29
hadoop
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Hadoop Pig ã®ä½¿ã„ã©ã“ã‚ - Tech-Sketch
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ryshinoz 2012/08/29
hadoop
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Hadoopã¨ã¯ã©ã†ã„ã†ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã‚ã‚Šã€ã„ã¾ã©ã®ã‚ˆã†ãªçŠ¶æ³ã«ãªã£ã¦ã„ã‚‹ã®ã‹ã€‚NTTãƒ‡ãƒ¼ã‚¿ã®æ¿±é‡Žè³¢ä¸€æœ—æ°ãŒã€å…ˆæ—¥è¡Œã‚ã‚ŒãŸç¬¬2å›ž NHNãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã§è¡Œã‚ã‚ŒãŸã‚»ãƒƒã‚·ãƒ§ãƒ³ã€Œæ—¥ã€…é€²åŒ–ã™ã‚‹Hadoopã®ã€Žã„ã¾ã€ã€ã§åˆ†ã‹ã‚Šã‚„ã™ãè§£èª¬ã—ã¦ã„ã¾ã™ã€‚ ï¼ˆæœ¬è¨˜äº‹ã¯ã€Œæ—¥ã€…é€²åŒ–ã™ã‚‹Hadoopã€‚ã“ã‚Œã¾ã§ã®ãŠã•ã‚‰ã„ã¨æœ€è¿‘ã®å‹•å‘ï¼ˆå‰ç·¨ï¼‰ã€ã®ç¶šãã§ã™ï¼‰ Hadoopã®1.0ç³»ã¨2.0ç³» Hadoopã®é–‹ç™ºã¯ã‹ãªã‚Šæ´»ç™ºã«é€²ã‚“ã§ã„ã¾ã™ã€‚ Hadoopã§ã„ã¡ã°ã‚“åˆ†ã‹ã‚‰ãªã„ã¨ã„ã‚ã‚Œã‚‹ã®ãŒãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã€ã“ã‚Œã¯ä»¥å‰ã‹ã‚‰Hadoopã«æŽ¥ã—ã¦ã„ã‚‹ç§ãŸã¡ã§ã‚‚ã‚ˆãåˆ†ã‹ã‚‰ãªã„ãã‚‰ã„ã§ã™ã€‚ Hadoopã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã«ã¯å¤§ããäºŒç³»çµ±ã‚ã£ã¦ã€å°‘ã—å‰ã¾ã§0.20ç³»ã¨å‘¼ã°ã‚Œã¦ã„ãŸã‚‚ã®ã§ã€ã“ã‚ŒãŒç¾è¡Œã¯1.0ç³»ã¨å‘¼ã°ã‚Œã¦ã„ã¾ã™ã€‚ã‚‚ã†ã²ã¨ã¤ãŒ0.21ã€0.22ã€0.23ç³»ã¨å‘¼ã°ã‚Œã¦ã„ãŸã‚‚ã®ã€ã“ã‚ŒãŒã„ã¾2.0ç³»ã¨å‘¼ã°ã‚Œã¦ã„ã¾ã™ã€‚ å¯¾å¤–çš„ã«ã¯
ryshinoz 2012/08/27
hadoop
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ryshinoz 2012/08/27
hadoop
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ãƒªã‚¯ãƒ«ãƒ¼ãƒˆå¼Hadoopã®ä½¿ã„æ–¹ - Presentation Transcript ãƒªã‚¯ãƒ«ãƒ¼ãƒˆå¼Hadoopã®ä½¿ã„æ–¹ æ ªå¼ä¼šç¤¾ãƒªã‚¯ãƒ«ãƒ¼ãƒˆMIT ã‚·ã‚¹ãƒ†ãƒ åŸºç›¤æŽ¨é€²å®¤ã‚¤ãƒ³ãƒ•ãƒ©ã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã‚°ãƒ«ãƒ¼ãƒ—çŸ³å· ä¿¡è¡Œ ã¯ã˜ã‚ã«ãƒ»ãƒ»ãƒ» â–¡åå‰ çŸ³å·ã€€ä¿¡è¡Œ ï¼ˆã€€ã€€ã€€ground_beetleï¼‰ â–¡å‡ºèº« ç¦å³¶çœŒã€€ã„ã‚ãå¸‚ â–¡çµŒæ´ ãƒ»2009å¹´ãƒªã‚¯ãƒ«ãƒ¼ãƒˆæ–°å’å…¥ç¤¾ ãƒ»å–¶æ¥æ”¯æ´ã‚·ã‚¹ãƒ†ãƒ ã®ã‚³ãƒ¼ãƒ€ãƒ¼ï¼ˆjavaï¼‰ã€DBAã¨ã—ã¦å‚åŠ ã€‚ ãƒ»Javascriptã®Libã§ã‚ã‚‹Senchaã‚’ç”¨ã„ãŸã‚¹ãƒžãƒ›ã‚µã‚¤ãƒˆé–‹ç™º ãƒ»ç¾HadoopæŽ¨é€²æ‹…å½“ â–¡è¶£å‘³ ãƒ»å¤–å›½ç”£ã‚«ãƒ–ãƒˆè™«é£¼è‚² ãƒ»ã‚¹ã‚ãƒ¥ãƒ¼ãƒãƒ€ã‚¤ãƒ“ãƒ³ã‚° ãƒ»æµ·æ°´éšé£¼è‚² ãƒªã‚¯ãƒ«ãƒ¼ãƒˆã®çµ„ç¹”ä½“åˆ¶ã«ã¤ã„ã¦ æ—…è¡ŒC å–¶æ¥ ä¼ç”» è‡ªå‹•è»ŠC å–¶æ¥ ä¼ç”» ä½å®…C å–¶æ¥ ä¼ç”» MITã€€United äº‹æ¥æ‹…å½“MITã€€ äº‹æ¥æ‹…å½“MITã€€ äº‹æ¥æ‹…å½“MITã€€ ãƒ»ãƒžãƒ¼ã‚±ãƒ†ã‚£ãƒ³ã‚°ãƒ»åˆ†æžãƒãƒ¼ãƒ ã€€ ãƒ»ã‚¤ãƒ³ãƒ•ãƒ©åŸºç›¤ãƒãƒ¼ãƒ ã€€ã€€
ryshinoz 2012/08/20
hadoop
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1. ç¬¬2å›ž NHNãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ ï¼ˆ2012å¹´8æœˆ18æ—¥ï¼‰ æ—¥ã€…é€²åŒ–ã™ã‚‹Hadoopã® ã€Œã„ã¾ã€ æ ªå¼ä¼šç¤¾NTTãƒ‡ãƒ¼ã‚¿ ï¼ æ—¥æœ¬Hadoopãƒ¦ãƒ¼ã‚¶ãƒ¼ä¼š æ¿±é‡Ž è³¢ä¸€æœ— Copyright Â© 2012 NTT DATA Corporation 2. è‡ªå·±ç´¹ä»‹ ï® æ¿±é‡Ž è³¢ä¸€æœ— ï¼ˆã¯ã¾ã® ã‘ã‚“ã„ã¡ã‚ã†ï¼‰ @hamaken ï¬ æ ªå¼ä¼šç¤¾NTTãƒ‡ãƒ¼ã‚¿ åŸºç›¤ã‚·ã‚¹ãƒ†ãƒ äº‹æ¥æœ¬éƒ¨ ã‚·ãƒ‹ã‚¢ã‚¨ã‚ã‚¹ãƒ‘ãƒ¼ãƒˆ â€¢ ã€ŽBizXaaS Hadoopæ§‹ç¯‰ãƒ»é‹ç”¨ã‚½ãƒªãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ã€ ã€ŽCDH Hadoopã‚µãƒãƒ¼ãƒˆã‚µãƒ¼ãƒ“ã‚¹ã€ ã®ä¸ã®äºº ï¬ æ—¥æœ¬Hadoopãƒ¦ãƒ¼ã‚¶ãƒ¼ä¼š ï¬ ç¿”æ³³ç¤¾ ã€ŽHadoopå¾¹åº•å…¥é–€ã€ ç›£ä¿®è€… ï¬ è©±é¡Œã«ãªã£ãŸçµŒç”£çœã®Hadoopå ±å‘Šæ›¸ã®PM â€¢ çµŒæ¸ˆç”£æ¥çœ ã€Žåˆ†æ•£åˆ¶å¾¡å‡¦ç†æŠ€è¡“ç‰ã«ä¿‚ã‚‹ ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼é«˜ä¿¡é ¼åŒ–ã«å‘ã‘ãŸå®Ÿè¨¼äº‹æ¥ã€ â€¢ http://www.meti.go.jp/policy/mono
ryshinoz 2012/08/19
hadoop
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Hadoop and the Data Scientist
1. Hadoop and the Data Scien/st ç¬¬2å›žNHNãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ (2012/08/18) Takahiro Inoue (@doryokujin) Treasure Data, Inc. Chief Data Scien/st 2. Introduc/on â€¢â€¯ Takahiro Inoue (TwiFer: @doryokujin ) â€¢â€¯ Majored in Mathema/cs â€¢â€¯ Chief Data Scien/st @ Treasure-Ââ€Data â€¢â€¯ Leader of Japanese Mongo DB Community, Mongo Masters 4. Challenges with building your own cloud based data warehouse Treasure Data High-Level
ryshinoz 2012/08/19
hadoop
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20åˆ†ã§ã‚ã‹ã‚‹HBase
PyFes 2012.07 ã§ç™ºè¡¨ã—ãŸã¨ãã®ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ HBaseã®ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£å‘¨ã‚Šã‚’ä¸å¿ƒã«è©±ã—ã¾ã—ãŸRead less
ryshinoz 2012/07/29
hadoop

hbase
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MacPortsã§Hadoopã‚’å‹•ã‹ã™ - è‡ªç„¶è¨€èªžå‡¦ç† on Mac
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ryshinoz 2011/05/28
hadoop

macport
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Hadoopã‚’ä½¿ã£ã¦Twitterã‚„Facebookä¸Šã§ã®ã€Œå½±éŸ¿åŠ›ã€ã‚’æ•°å€¤åŒ–ã™ã‚‹ã«ã¯ - nokunoã®æ—¥è¨˜
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ryshinoz 2011/05/23
twitter

hadoop
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ã€Žãƒ¢ãƒã‚²ãƒ¼ã®å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°åŸºç›¤ã«ãŠã‘ã‚‹Hadoopæ´»ç”¨ã€ï¼Hadoop Conference Japan 2011ï¼ #hcj2011
ã€Žãƒ¢ãƒã‚²ãƒ¼ã®å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°åŸºç›¤ã«ãŠã‘ã‚‹Hadoopæ´»ç”¨ã€ï¼Hadoop Conference Japan 2011ï¼ #hcj2011 2011/02/22 [ç™»å£‡å¾Œã‚¨ãƒ³ãƒˆãƒª] ï¼š" ã€Œãƒ¢ãƒã‚²ãƒ¼ã®å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ãƒžã‚¤ãƒ‹ãƒ³ã‚°åŸºç›¤ã«ãŠã‘ã‚‹Hadoopæ´»ç”¨ã€ï¼Hadoop Conference Japan 2011 #hcj2011 ã§ç™»å£‡ã—ã¦ãã¾ã—ãŸ " http://d.hatena.ne.jp/hamadakoichi/20110222/p1Read less
ryshinoz 2011/02/24
hadoop
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ãˆï¼ŸHadoopã®å±æ©Ÿï¼Ÿ
Tatsuya Kawano @tatsuya6502 Apache Hadoopã‚³ãƒŸãƒƒã‚¿ãƒ¼ã®ã»ã¨ã‚“ã©ãŒç±³Yahoo!ç¤¾å“¡ã§æ§‹æˆã•ã‚Œã¦ã„ã‚‹çŠ¶æ³ã¯ã€ã„ã¾ã§ã¯ã‹ãªã‚Šå±é™ºã«ãªã£ã¦ãã¦ã‚‹ã‹ã‚‚ã€‚ã‚‚ã†ã€Hadoopã®é–‹ç™ºã¨ã‚µãƒãƒ¼ãƒˆã«å·¥æ•°ã‚’å‰²ãã“ã¨ã¯ã€ä¼šç¤¾ã‹ã‚‰ã»ã¨ã‚“ã©è¨±ã•ã‚Œã¦ãªã„ã‚ˆã†ãªé›°å›²æ°—ãŒã‚ã‚‹ã‚ˆã†ãª...ã€‚ 2011-01-08 12:38:15 Agile Cat @Agile_Cat ãŸã ã€MS ã¸ã®æŠ€è¡“ä¾›ä¸Žã¨å¼•æ›ã«ã‚ãƒ£ãƒƒã‚·ãƒ¥ãŒå…¥ã£ã¦ãã‚‹ã¯ãšãªã®ã§ã€ç¶šãã®ã§ã¯ãªã„ã‹ã¨ã€æœŸå¾…ã—ã¦ã„ã‚‹ã®ã§ã™ãŒã€‚ã€‚ã€‚ RT @tatsuya6502: Apache Hadoopã‚³ãƒŸãƒƒã‚¿ãƒ¼ã®ã»ã¨ã‚“ã©ãŒç±³Yahoo!ç¤¾å“¡ã§æ§‹æˆã•ã‚Œã¦ã„ã‚‹çŠ¶æ³ã¯ã€ã„ã¾ã§ã¯ã‹ãªã‚Šå±é™ºã«ãªã£ã¦ãã¦ã‚‹ã‹ã‚‚ã€‚ 2011-01-08 12:41:41 Shinpei Ohtani @shot6 @tatsuya6502 ã¯ã„ã€‚ãã†ãªã‚“ã§ã™ã‚ˆã€‚ä»Šå¹´ã¯ç›¸
ryshinoz 2011/01/09
hadoop
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ryshinoz 2010/12/01
hadoop
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