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hirose504 id:hirose504

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ã‚°ãƒ¼ã‚°ãƒ«ãŒã€ŒEvolution and Future Directions of Large-Scale Storage and Computation Systems at Googleã€ï¼ˆã‚°ãƒ¼ã‚°ãƒ«ã«ãŠã‘ã‚‹ã€å¤§è¦æ¨¡ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã¨ã‚³ãƒ³ãƒ”ãƒ¥ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ã®é€²åŒ–ã¨å°†æ¥ã®æ–¹å‘æ€§ï¼‰ã¨ã„ã†è¬›æ¼”ã‚’ã€6æœˆã«è¡Œã‚ã‚ŒãŸACMï¼ˆç±³å›½è¨ˆç®—æ©Ÿå¦ä¼šï¼‰ä¸»å‚¬ã®ã‚¯ãƒ©ã‚¦ãƒ‰ã‚³ãƒ³ãƒ”ãƒ¥ãƒ¼ãƒ†ã‚£ãƒ³ã‚°ã®ã‚·ãƒ³ãƒã‚¸ã‚¦ãƒ ã€ŒACM Symposium on Cloud Computing 2010ã€ã§è¡Œã£ã¦ã„ã¾ã™ã€‚ ã‚°ãƒ¼ã‚°ãƒ«ã¯ã©ã®ã‚ˆã†ã«ã—ã¦å¤§è¦æ¨¡åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã‚’æ§‹ç¯‰ã—ã¦ããŸã®ã‹ã€ãã—ã¦ã€ãã“ã‹ã‚‰ã©ã®ã‚ˆã†ãªã“ã¨ã‚’å¦ã‚“ã ã®ã‹ãŒèªžã‚‰ã‚Œã¦ã„ã¾ã™ã—ã€å¾ŒåŠã§ã¯å¤§è¦æ¨¡åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ã‚¿ãƒ¼ãƒ³ã¨ã„ã†ã€éžå¸¸ã«èˆˆå‘³æ·±ã„ãƒŽã‚¦ãƒã‚¦ã‚‚å…¬é–‹ã—ã¦ã„ã‚‹ã€éžå¸¸ã«æƒ…å ±é‡ã®å¤šã„è¬›æ¼”ã§ã™ã€‚ ãã®è¬›æ¼”ã®å†…å®¹ã‚’ã€å…¨éƒ¨ã§4ã¤ã®è¨˜äº‹ã€MapReduceç·¨ã€BigTableç·¨ã€æ•™è¨“ç·¨ã€ãƒ‡ã‚¶ã‚¤ãƒ³
hirose504 2010/08/24
google

infrastructure

mapreduce
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ã‚¹ã‚°ãƒ«ãƒ‹ãƒƒã‚Â» ãƒ–ãƒã‚°ã‚¢ãƒ¼ã‚«ã‚¤ãƒ– Â» CouchDB 0.8 ã‚’è©¦ã—ã¦ã¿ã‚‹
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hirose504 2009/06/08
åŒæ–¹å‘ãƒ¬ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³æ©Ÿèƒ½ã‚’æŒã¤ã‚ãƒ¼ãƒãƒªãƒ¥ãƒ¼ã‚¹ãƒˆã‚¢DB

database

mapreduce
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IBM Developer
IBM Developer is your one-stop location for getting hands-on training and learning in-demand skills on relevant techno logies such as generative AI, data science, AI, and open source.
hirose504 2009/04/06
database

javascript

mapreduce
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æ¥½å¤©ç‰ˆMapReduceãƒ»Hadoopã¯Rubyã‚’æ´»ç”¨ ï¼ ï¼ IT
2008/12/01 æ¥½å¤©ã¯11æœˆ29æ—¥ã€æ±äº¬ãƒ»å“å·ã®æœ¬ç¤¾ã§é–‹å‚¬ã—ãŸæŠ€è¡“ç³»ã‚¤ãƒ™ãƒ³ãƒˆã€Œæ¥½å¤©ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹2008ã€ã«ãŠã„ã¦ã€è¿‘ã„å°†æ¥ã«åŒç¤¾ã®Eã‚³ãƒžãƒ¼ã‚¹ã‚µãƒ¼ãƒ“ã‚¹ã€Œæ¥½å¤©å¸‚å ´ã€ã‚’æ”¯ãˆã‚‹è¨ˆç”»ãŒã‚ã‚‹Rubyãƒ™ãƒ¼ã‚¹ã®å¤§è¦æ¨¡åˆ†æ•£å‡¦ç†æŠ€è¡“ã€ŒROMAã€ï¼ˆãƒãƒ¼ãƒžï¼‰ã¨ã€Œfairyã€ï¼ˆãƒ•ã‚§ã‚¢ãƒªãƒ¼ï¼‰ã«ã¤ã„ã¦ã€ãã®æ¦‚è¦ã‚’æ˜Žã‚‰ã‹ã«ã—ãŸã€‚ ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ã®å‡¦ç†è‡ªä½“ã¯ã‚·ãƒ³ãƒ—ãƒ« æ¥½å¤©å¸‚å ´ã§ã¯ç¾åœ¨ã€2600ä¸‡ç‚¹ã®å•†å“ã‚’å–ã‚Šæ‰±ã„ã€4200ä¸‡äººã®ä¼šå“¡ã«å¯¾ã—ã¦ã‚µãƒ¼ãƒ“ã‚¹ã‚’æä¾›ã—ã¦ã„ã‚‹ã€‚ã“ã®è¦æ¨¡ã®ä¼šå“¡æ•°ãƒ»å•†å“ç‚¹æ•°ã§ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ï¼ˆå•†å“ã®æŽ¨è–¦ï¼‰ã‚’è¡Œã†ã®ã¯å®¹æ˜“ã§ã¯ãªã„ã€‚ â€»è¨˜äº‹åˆå‡ºæ™‚ã«æ¥½å¤©å¸‚å ´ã®ä¼šå“¡æ•°ã‚’4800ä¸‡äººã¨ã—ã¦ã‚ã‚Šã¾ã—ãŸãŒã€ã“ã‚Œã¯æ¥½å¤©ã‚°ãƒ«ãƒ¼ãƒ—ã®ã‚µãƒ¼ãƒ“ã‚¹åˆ©ç”¨è€…å…¨ä½“ã®æ•°å—ã§ã—ãŸã€‚æ¥½å¤©å¸‚å ´ã®ä¼šå“¡æ•°ã¯æ£ã—ãã¯4200ä¸‡äººã¨ã®ã“ã¨ã§ã™ã€‚ãŠè©«ã³ã—ã¦è¨‚æ£ã„ãŸã—ã¾ã™ã€‚ ãƒ¬ã‚³ãƒ¡ãƒ³ãƒ‡ãƒ¼ã‚·ãƒ§ãƒ³ã®ä»•çµ„ã¿ã¨ã—ã¦åŒç¤¾ã¯ã€ä¸€èˆ¬çš„ã§ã‚·ãƒ³ãƒ—ãƒ«ãªã‚¢
hirose504 2008/12/02
hadoop

mapreduce

programming

ruby
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Kansai.pm ã§ã®ç™ºè¡¨è³‡æ–™ (Hadoop Streaming ã§ MapReduce) - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
Kansai.pm ã«å‚åŠ ã—ã¾ã—ãŸã€‚ã¨ã¦ã‚‚æ¥½ã—ã‹ã£ãŸã§ã™ã€‚è‡ªåˆ†ã‚‚ "Hadoop Streaming ã§ MapReduce" ã¨ã„ã†é¡Œç›®ã§ç™ºè¡¨ã—ã¾ã—ãŸã€‚å–ã‚Šæ€¥ãŽã€è³‡æ–™ã‚’ä»¥ä¸‹ã«å…¬é–‹ã—ã¾ã™ã€‚ http://bloghackers.net/~naoya/ppt/080530kansai pm.ppt MapReduce ã¯ Google ã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã§å‹•ã„ã¦ã„ã‚‹åˆ†æ•£ä¸¦åˆ—ãƒãƒƒãƒå‡¦ç†ã‚·ã‚¹ãƒ†ãƒ ã§ã™ã€‚GFS ã¯ Google ã®åˆ†æ•£ãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ ã§ã™ã€‚Google ã‚¦ã‚§ã‚¢ã®ã‚¯ãƒãƒ¼ãƒ³ã¨ã—ã¦ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã§é–‹ç™ºã•ã‚Œã¦ã„ã‚‹ã®ãŒ Hadoopã€‚Hadoop ã¯ Yahoo! Inc ã‚„ Facebook, Amazon.com ãªã©ã§ã‚‚åˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹ã¨ã®ã“ã¨ã€‚Hadoop ã¯ Java ã§ã™ãŒã€Hadoop Streaming ã‚’ä½¿ã†ã¨ã€€Java ä»¥å¤–ã§ã‚‚ MapReduce ã§ãã¾ã™ã€‚ ä»¥ä¸‹ã®ã‚¨ãƒ³ãƒˆãƒªã‚‚åˆ
hirose504 2008/06/03
hadoop

mapreduce
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