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rikima3132 id:rikima3132

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http://infra-engineer.com/hadoop/hadoop%E8%B1%A1%E6%9C%AC%E7%AC%AC2%E7%89%88-12%E7%AB%A0-hive-%E3%81%AE%E3%81%BE%E3%81%A8%E3%82%81/
rikima3132 2015/11/12
è±¡æœ¬ç¬¬2ç‰ˆ 12ç« Hive ã®ã¾ã¨ã‚ | ã‚¤ãƒ³ãƒ•ãƒ©ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ã¤ã¶ã‚„ã

Hadoop
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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.
rikima3132 2011/04/03
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java

apache

programming

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hadoop

machinelearning

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Mahout

recommendation
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http://www.hadoopstudio.org/
rikima3132 2009/08/15
hadoop

java

netbeans
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ã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ã€RPMæä¾›ã§Hadoopå•†ç”¨åˆ©ç”¨ã‚’ã‚µãƒãƒ¼ãƒˆ ï¼ ï¼ IT
2009/03/16 ç±³ã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ï¼ˆClouderaï¼‰ã¯3æœˆ15æ—¥ã€Javaå‘ã‘ã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹åˆ†æ•£å‡¦ç†ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ã€ŒHadoopã€ã‚’Red Hatãƒ™ãƒ¼ã‚¹ã®Linuxã‚µãƒ¼ãƒã«ç°¡æ˜“ã«ãƒ‡ã‚£ãƒ—ãƒã‚¤ã§ãã‚‹ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã€ŒCloudera Distribution for Hadoopã€ã‚’ãƒªãƒªãƒ¼ã‚¹ã—ãŸã€‚Hadoopã¯ç¾åœ¨tarãƒœãƒ¼ãƒ«ã§é…å¸ƒã•ã‚Œã¦ã„ã¦ã€åˆ©ç”¨ã«ã¯ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ãŒå¿…è¦ã ã£ãŸã€‚ã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ã¯Cent OSã‚„Red Hat Enterprise Linux 5ã€Fedora Core 8ãªã©ã§åˆ©ç”¨ã§ãã‚‹RPMãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã‚’Hadoop 0.18.3ãƒ™ãƒ¼ã‚¹ã§æä¾›ã™ã‚‹ã“ã¨ã§ã€Hadoopã®å®Ÿè¡Œç’°å¢ƒã‚’æ§‹æˆã™ã‚‹æ‰‹æ®µã‚’æä¾›ã™ã‚‹ã€‚åŒæ™‚ã«åŒç¤¾ã¯ã€Amazon EC2ä¸Šã§Hadoopå‘ã‘ã‚¯ãƒ©ã‚¹ã‚¿ã‚’ç«‹ã¡ä¸Šã’ã‚‹ã‚¹ã‚¯ãƒªãƒ—ãƒˆã‚„æ‰‹é †ã‚’å…¬é–‹ã—ãŸã€‚ ã‚¯ãƒ©ã‚¦ãƒ‡ãƒ©ã¯2008å¹´10æœˆã«å‰µæ¥ã—ãŸã°ã‹ã‚Šã®ãƒ™ãƒ³ãƒãƒ£ãƒ¼ã§ã€ã‚¨ãƒ³ã‚¿ãƒ¼ãƒ—ãƒ©ã‚¤ã‚ºãƒ¦ãƒ¼ã‚¶
rikima3132 2009/03/17
hadoop

java

RedHat
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Hadoop Streaming
Hadoop streaming is a utility that comes with the Hadoop distribution. The utility allows you to create and run map/reduce jobs with any executable or script as the mapper and/or the reducer. For example: $HADOOP_HOME/bin/hadoop jar $HADOOP_HOME/hadoop-streaming.jar \ -input myInputDirs \ -output myOutputDir \ -mapper /bin/cat \ -reducer /bin/wc In the above example, both the mapper and the reduce
rikima3132 2008/11/13
key/value pairã®ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆdelimiterã¯ã‚¿ãƒ–

hadoop

python
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ã¯ã¦ãªãƒ–ãƒã‚° | ç„¡æ–™ãƒ–ãƒã‚°ã‚’ä½œæˆã—ã‚ˆã†
ã‚ªãƒ¼ãƒ™ãƒ«ã‚¸ãƒ¼ãƒŒå®Ÿé£Ÿãƒ¬ãƒ é£Ÿã¹ç‰©ã®é¼»å¡©å¡©(æœªã ã«é€šã˜ã‚‹ã®ã‹ãª) ã‚ªãƒ¼ãƒ™ãƒ«ã‚¸ãƒ¼ãƒŒã¨ã„ã†ã‚«ãƒ¬ãƒ¼ã‚’ã”å˜çŸ¥ã ã‚ã†ã‹ éƒ½å†…ã«ã‚ã‚‹ãƒ‡ãƒªãƒãƒªãƒ¼å°‚é–€ã®ã‚«ãƒ¬ãƒ¼å±‹ã§ã€ ãƒã‚±å¼ãªã©ã§å¤§äººæ°—ã®æœ¬æ ¼æ¬§é¢¨ã‚«ãƒ¬ãƒ¼ãŒæ¥½ã—ã‚ã‚‹ã‚‰ã—ã„ ã„ã„ãªã€œ ã„ã„ãªã€œã‚ªãƒ–ã‚¶ã‚¤ãƒ¤ãƒ¼ éƒ½å†…ã®å¥´ã‚‰ã¯ã“ã‚“ãªè‰¯ã„ãƒ¢ãƒ³é£Ÿã£ã¦ã‚“ã®ã‹ è¨±ã›ããˆã‚ˆâ€¦â€¦â€¦
rikima3132 2008/07/31
java.io.IOException: Broken pipeã£ã¦ã§ãŸã‚‰

mapreduce

hadoop
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Hbase/10Minutes - Hadoop Wiki
rikima3132 2007/11/22
hadoop

hbase
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kuangueã®æ—¥è¨˜
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rikima3132 2007/11/22
hadoop
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