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kanbayashi id:kanbayashi

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Hadoop Streaming - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼
id:naoya:20080511:1210506301 ã®ã‚¨ãƒ³ãƒˆãƒªã®ã‚³ãƒ¡ãƒ³ãƒˆæ¬„ã§ kzk ã•ã‚“ã«æ•™ãˆã¦ã„ãŸã ã„ãŸ Hadoop Streaming ã‚’è©¦ã—ã¦ã„ã¾ã™ã€‚ Hadoop ã¯ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã® MapReduce + åˆ†æ•£ãƒ•ã‚¡ã‚¤ãƒ«ã‚·ã‚¹ãƒ†ãƒ ã§ã™ã€‚Java ã§ä½œã‚‰ã‚Œã¦ã„ã¾ã™ã€‚Yahoo! Inc ã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã‚„ã€Facebookã€Amazon.com ãªã©ã§ã‚‚åˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹ã¨ã®ã“ã¨ã§ã™ã€‚è©³ã—ãã¯ http://codezine.jp/a/article/aid/2448.aspx (kzk ã•ã‚“ã«ã‚ˆã‚‹é€£è¼‰è¨˜äº‹)ã‚’å‚ç…§ã—ã¦ãã ã•ã„ã€‚ Hadoop Streaming è¨˜äº‹ã«ã‚‚ã‚ã‚Šã¾ã™é€šã‚Šã€Hadoop æ‹¡å¼µã® Hadoop Streaming ã‚’ä½¿ã†ã¨æ¨™æº–å…¥å‡ºåŠ›ã‚’ä»‹ã™ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’è¨˜è¿°ã™ã‚‹ã ã‘ã§ã€Hadoop ã«ã‚ˆã‚‹ MapReduce ã‚’åˆ©ç”¨ã™ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚ã¤ã¾ã‚Šã€Java ä»¥å¤–
kanbayashi 2008/07/15
hadoop

naoya

grid

parallel

*ã“ã‚Œã¯ã™ã”ã„

java

hpc

mapreduce

aws

elastic map reduce
ãƒªãƒ³ã‚¯
GridGain â€” Extreme Speed and Scale for Data-Intensive Apps
GridGain combines stream processing, a distributed in-memory data grid, and colocated compute to deliver data processing and analytics at massive scale and ultra-low latencies. GridGain combines stream processing, a distributed in-memory data grid, and colocated compute to deliver data processing and analytics at massive scale and ultra-low latencies.
kanbayashi 2007/09/25
tofu-g?

grid

*technique

*research

java
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Hadoop Streaming - naoyaã®ã¯ã¦ãªãƒ€ã‚¤ã‚¢ãƒªãƒ¼

GridGain â€” Extreme Speed and Scale for Data-Intensive Apps

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