[B! Hadoop] nsyeeã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

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Hadoopã«é–¢ã™ã‚‹nsyeeã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (57)

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Treasure Dataã«å…¥ç¤¾ã—ã¾ã—ãŸ - myui's memo
3/31ä»˜ã‘ã§4æœˆã‹ã‚‰å›½ç«‹ç ”ç©¶é–‹ç™ºæ³•äººã«ãªã£ãŸç”£æ¥æŠ€è¡“ç·åˆç ”ç©¶æ‰€ã‚’é€€è·è‡´ã—ã¾ã—ã¦ã€4/1ã‹ã‚‰Treasure Dataã«å…¥ç¤¾ã—ã¾ã—ãŸã€‚ç¬¬ä¸€å·ã®Research Engineerã¨ã—ã¦æ±äº¬ã‚ªãƒ•ã‚£ã‚¹ã§åƒãã¾ã™ã€‚ CTOã®å¤ªç”°ã•ã‚“ã‹ã‚‰2013å¹´é ƒã«ä¸€åº¦ãŠèª˜ã„ã‚’å—ã‘ã¦ãŠã‚Šã¾ã—ãŸãŒã€2014å¹´ã«ãªã£ã¦ã¾ãŸå£°ã‚’æŽ›ã‘ã¦é ‚ãã€2å¹´è¶Šã—ã§ã®å…¥ç¤¾ã¨ãªã‚Šã¾ã—ãŸã€‚ ãªã‚“ã§Treasure Dataï¼Ÿ ç¾åœ¨ã®Treasure Dataã§ã¯ã€æ¯Žç§’45ä¸‡ãƒ¬ã‚³ãƒ¼ãƒ‰ã€4,000å„„ãƒ¬ã‚³ãƒ¼ãƒ‰/æ—¥ã‚‚ã®ãƒ‡ãƒ¼ã‚¿ãŒæŠ•å…¥ã•ã‚Œã¦ã„ã¦ã€Hiveã§å‡¦ç†ã•ã‚Œã‚‹ãƒ‡ãƒ¼ã‚¿é‡ã‚‚3+ãƒšã‚¿ãƒã‚¤ãƒˆ/æ—¥ã¨æ€¥é€Ÿãªç™ºå±•ã‚’ã¨ã’ã¦ãŠã‚Šã¾ã™ã€‚ç ”ç©¶ã§ã‚‚ã“ã®è¦æ¨¡ã®ãƒ‡ãƒ¼ã‚¿é‡ã‚’æ‰±ã†ã“ã¨ã¯Googleã‚„Facebookç‰ã®ä¸€éƒ¨ã®ç ”ç©¶è€…ã‚’é™¤ã„ã¦ã¯ã‚ã‚Šã¾ã›ã‚“ã‹ã‚‰ã€éžå¸¸ã«æŒ‘æˆ¦çš„ãªèª²é¡Œã«å–ã‚Šçµ„ã‚ã‚‹ç’°å¢ƒã§ã‚ã‚‹ã“ã¨ã«DBç ”ç©¶è€…ã¨ã—ã¦ç¬¬ä¸€ã«é…åŠ›ã‚’æ„Ÿã˜ã¾ã—ãŸã€‚å„ªç§€ãªã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãŒé›†ã¾ã£ã¦ã„ã¦åˆºæ¿€çš„
nsyee 2015/04/02
treasuredata

Hadoop
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NoSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®Couchbaseã€Hortonworksã®Hadoopãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã¨çµ±åˆ
NoSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚’æ‰‹ãŒã‘ã‚‹Couchbaseã¯ç±³å›½æ™‚é–“2æœˆ19æ—¥ã€åŒç¤¾ã®ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨Hortonworksã®ã€ŒApache Hadoopã€ãƒ‡ãƒ¼ã‚¿ãƒ—ãƒ©ãƒƒãƒˆãƒ•ã‚©ãƒ¼ãƒ ã®çµ±åˆã‚’ç™ºè¡¨ã—ãŸã€‚ã“ã‚Œã«ã‚ˆã‚Šä¼æ¥ãŒå˜ä¸€ã®ã‚·ã‚¹ãƒ†ãƒ ä¸Šã§æ¥å‹™ãƒ‡ãƒ¼ã‚¿ã¨åˆ†æžãƒ‡ãƒ¼ã‚¿ã®åŒæ–¹ã‚’å–ã‚Šæ‰±ãˆã‚‹ã‚ˆã†ã«ãªã‚‹ã¨ã„ã†ã€‚ Couchbaseã¯ã€åˆ†æ•£ãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ãƒ³ã‚°ã«ã¯ã€ŒApache Kafkaã€ã‚’ã€ã‚¹ãƒˆãƒªãƒ¼ãƒ ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã«ã¯ã€ŒApache Stormã€ã‚’ç”¨ã„ã¦ã€ã€ŒCouchbase Server 3.0.2ã€ã¨ã€ŒHortonworks Data Platform 2.2ã€ï¼ˆHDP 2.2ï¼‰ã‚’çµ±åˆã™ã‚‹ã“ã¨ã«ãªã‚‹ã€‚ ä»Šã¾ã§æ¥å‹™ãƒ‡ãƒ¼ã‚¿ã¨åˆ†æžãƒ‡ãƒ¼ã‚¿ã¯å€‹åˆ¥ã«æ‰±ã‚ã‚Œã¦ãã¦ãŠã‚Šã€é™çš„ã‹ã¤å¤§è¦æ¨¡ãªã‚ªãƒ•ãƒ©ã‚¤ãƒ³ãƒ‡ãƒ¼ã‚¿ã‚»ãƒƒãƒˆã®åˆ†æžã«ã¯æ˜”ã‹ã‚‰HadoopãŒç”¨ã„ã‚‰ã‚Œã¦ãã¦ã„ã‚‹ã€‚ Couchbaseã®èª¬æ˜Žã«ã‚ˆã‚‹ã¨ã€åŒç¤¾ã®ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨Hortonwo
nsyee 2015/02/21
Couchbase

Hadoop
ãƒªãƒ³ã‚¯
GitHub - hailstorm-hs/hailstorm: Haskell distributed stream processing with exactly-once semantics
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nsyee 2014/07/28
haskell

distributed

Hadoop
ãƒªãƒ³ã‚¯
æ¯Žç§’10å„„ä»¶ä»¥ä¸Šã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã‚¤ãƒ™ãƒ³ãƒˆã‚’å‡¦ç†ã™ã‚‹DataTorrent 1.0
Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ ç¬¬2ç‰ˆ ä½•åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ãƒƒã‚¯ã€ŒPractical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootã‚’ä½¿ã£ãŸREST APIæ§‹ç¯‰ã®åŸºç¤Žã‚’å¦ã‚“ã ã€‚ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ããƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 ã‚’ä½¿ç”¨ã—ã¦ã„ã‚‹ã€‚ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘ãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã€é‡è¦ãªå¤‰...
nsyee 2014/06/11
Hadoop

Log
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Droonga
About Droonga Droonga is a distributed full-text search engine, based on a stream oriented processing model. In many operations (searching, updating, grouping, and so on), Droonga processes various data by pipeline. As the result, Droonga has large potential around its flexibility and extensibility. Moreover, those features provide high availability for people who develop any data processing engin
nsyee 2014/03/01
Ruby

Hadoop

distributed
ãƒªãƒ³ã‚¯
Using Coq in Specification and Program Extraction of Hadoop MapReduce Applications
nsyee 2014/02/03
Coq

Hadoop

MapReduce
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Facebookã€åˆ†æ•£SQLã‚¨ãƒ³ã‚¸ãƒ³ã€ŒPrestoã€å…¬é–‹ã€‚å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ã‚’MapReduce/Hiveã®10å€åŠ¹çŽ‡ã‚ˆãå‡¦ç†ã™ã‚‹ã¨
Facebookã¯ã€æ•°ãƒšã‚¿ãƒã‚¤ãƒˆç´šã®å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ã«å¯¾ã—ã¦ã‚‚ã€å¯¾è©±çš„ã«ã‚¢ãƒ‰ãƒ›ãƒƒã‚¯ãªå•ã„åˆã‚ã›ã‚’å¯èƒ½ã«ã™ã‚‹åˆ†æ•£SQLã‚¨ãƒ³ã‚¸ãƒ³ã€ŒPrestoã€ã‚’ã€ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã§å…¬é–‹ã—ã¾ã—ãŸã€‚ Prestoã¯Facebookç¤¾å†…ã§å¤§è¦æ¨¡ãƒ‡ãƒ¼ã‚¿ã®åˆ†æžã®ãŸã‚ã«é–‹ç™ºã•ã‚Œã€ã™ã§ã«åŒç¤¾ç¤¾å†…ä½¿ã‚ã‚Œã¦ã„ã‚‹ã‚‚ã®ã€‚ Facebookã¯Prestoã‚’é–‹ç™ºã—ãŸèƒŒæ™¯ã¨ã—ã¦ã€å¤§é‡ã®ãƒ‡ãƒ¼ã‚¿ã‚’Hadoop/HDFSãƒ™ãƒ¼ã‚¹ã§ä¿å˜ã—ãŸã‚‚ã®ã®ã€ãƒãƒƒãƒæŒ‡å‘ã®MapReduceã§ã¯ãªãã€ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ æ€§ã«å„ªã‚ŒãŸå‡¦ç†ãŒå¿…è¦ã«ãªã£ãŸãŸã‚ã ã¨ã€æ¬¡ã®ã‚ˆã†ã«èª¬æ˜Žã—ã¦ã„ã¾ã™ã€‚ Facebookâ€™s warehouse data is stored in a few large Hadoop/HDFS-based clusters. Hadoop MapReduce [2] and Hive are designed for large-scale, reliabl
nsyee 2014/01/16
facebook

Hadoop

Presto

SQL
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TechCrunch | Startup and Technology News
Generative AI improvements are increasingly being made through data curation and collection â€” not architectural â€” improvements. Big Tech has an advantage.
nsyee 2014/01/15
google

Hadoop
ãƒªãƒ³ã‚¯
ç¬¬1å›žã€€halookã§Hadoop/HBaseã‚’å¯è¦–åŒ–ã—ã‚ˆã† | gihyo.jp
ã“ã®é€£è¼‰ã§ã¯ã€Hadoopã‚„HBaseã®ãƒˆãƒ©ãƒ–ãƒ«ã‚’è§£æ±ºã™ã‚‹æ‰‹é †ã‚’ã”ç´¹ä»‹ã—ã¾ã™ã€‚ç¬¬1å›žç›®ã¨ãªã‚‹ä»Šå›žã¯ã€æœ¬é€£è¼‰ã®ã‚ãƒ¼ã¨ãªã‚‹ãƒ„ãƒ¼ãƒ«ã€Œhalookã€ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚ã€Œâ halookã€ã¯ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã§é–‹ç™ºã—ã¦ã„ã‚‹Hadoop/HBaseç”¨ã®å¯è¦–åŒ–ãƒ„ãƒ¼ãƒ«ã§ã€ãƒˆãƒ©ãƒ–ãƒ«ã®ç™ºç”Ÿã‚’å¯è¦–åŒ–ã—ã¦æŠŠæ¡ã—ã€åŽŸå› ç©¶æ˜Žã™ã‚‹ãŸã‚ã«åˆ©ç”¨ã§ãã¾ã™ã€‚ã¾ãšã¯ã€Œhalookã€ã®æ¦‚è¦ã‹ã‚‰ç´¹ä»‹ã—ã¾ã™ã€‚ Hadoopã€HBaseã®é›£ã—ã• Hadoopã¯å¤§é‡ãƒ‡ãƒ¼ã‚¿ã®ä¿å˜ã¨åˆ†æ•£å‡¦ç†ã®ãŸã‚ã«ã€æ•°åå°ï½žæ•°åƒå°ã®ãƒžã‚·ãƒ³ã‚’æ‰±ã„ã¾ã™ã€‚ãã®ãŸã‚ã€ä½•ã‹ãƒˆãƒ©ãƒ–ãƒ«ãŒã‚ã£ãŸã¨ãã«ã€ã©ã“ã«åŽŸå› ãŒã‚ã‚‹ã®ã‹çªãæ¢ã‚ã‚‹ã®ãŒé›£ã—ã„å ´åˆãŒå¤šãã€ã‚ã‚‹ã„ã¯ã€ãã‚‚ãã‚‚ãƒˆãƒ©ãƒ–ãƒ«ãŒèµ·ã“ã£ã¦ã„ã‚‹ã“ã¨ã«æ°—ä»˜ãã®ãŒé…ã‚Œã¦ã—ã¾ã†ã“ã¨ã‚‚ã‚ã‚Šã¾ã™ã€‚ãŸã¨ãˆã°ã€æ¬¡ã®ã‚ˆã†ãªç‚¹ãŒæŒ™ã’ã‚‰ã‚Œã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿ã¯æ£ã—ãåˆ†æ•£é…ç½®ã•ã‚Œã¦ã„ã‚‹ã‹ å‡¦ç†ã¯åˆ†æ•£ã—ã¦å®Ÿè¡Œã•ã‚Œã¦ã„ã‚‹ã‹ è¨å®šãƒŸã‚¹ã‚’ã—ã¦ã„ãªã„ã‹ å•é¡Œã®å ±å‘Šã®é›£ã—ã•
nsyee 2013/12/18
HBase

Hadoop

monitoring
ãƒªãƒ³ã‚¯
http://tsunami.io/
nsyee 2013/11/21
Hadoop

windows

Excel

data-mining

CAD
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MapR ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£æ¦‚è¦ - MapR CTO Meetup 2013/11/12
3. 3 â€˜09 â€˜11 07 06 MapReduce è«–æ–‡ã‚’ç™ºè¡¨ MR è«–æ–‡ã‚‚ã¨ã« Hadoop ã‚’é–‹ç™º Hadoop ã‚’ åˆ©ç”¨é–‹å§‹ Hadoop ã‚’ åˆ©ç”¨é–‹å§‹ Hadoop ã‚’ åˆ©ç”¨é–‹å§‹ NYãƒ€ã‚¦ãŒ 14,300 ã‹ã‚‰ 6,800 ã«æ€¥è½ MapR è¨ç«‹ â€˜13 â€˜12 é«˜ä¿¡é ¼æ€§Hadoopã‚’ç™ºè¡¨ ã¨ã®ãƒ‘ãƒ¼ãƒˆãƒŠãƒ¼ æ•°ã€…ã®ä¸–ç•Œ è¨˜éŒ²ã‚’æ›´æ–° MapR ã®æ´å² 2500 ãƒŽãƒ¼ãƒ‰ ã®æœ€å¤§ã® å•†ç”¨ã‚¯ãƒ©ã‚¹ã‚¿ MapR M7 ä¸–ç•Œæœ€é€ŸNoSQL 4. 4 MapR DistribuCon for Apache Hadoop åˆ†æž ã‚ªãƒšãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ OLTP Management ãƒãƒƒãƒ ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ– ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ Data Platform NoSQL Hardening, Testing, Integrating, Innovating, Contributing as part of the
nsyee 2013/11/19
Hadoop

MapReduce
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Spark shark
6. ãŠã¾ãˆã ã‚Œã‚ˆï¼Ÿ Tsuyoshi Ozawa @oza_x86 OSS developer Apache Hadoop ã®é–‹ç™ºã‚’ã—ã¦ã¾ã™ github : oza â†ã®22ç« ã‚’æ›¸ã„ãŸã‚ˆï¼ Tuesday, October 22, 13
nsyee 2013/11/06
Spark

Hadoop

hive

Shark

machine-learning

tutorial
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Hadoop/Storm ã®çµ±åˆã‚’å®Ÿç¾ã™ã‚‹ Twitter ã® SummingBird - Okapies' Archive
Twitter ãŒ SummingBird ã‚’æ£å¼ãƒªãƒªãƒ¼ã‚¹ã—ã¦æ—©äºŒãƒ¶æœˆã€‚ã€Œæ—¥æœ¬èªžã®ç´¹ä»‹è¨˜äº‹ãŒã»ã¨ã‚“ã©å‡ºã¦ãªã„ãªã€ã¨æ°—ä»˜ã„ãŸã®ã§ã€èª¿æŸ»ãŒã¦ã‚‰ã¾ã¨ã‚ã¦ã¿ã¾ã—ãŸã€‚ SummingBird ã¨ã¯ï¼Ÿ MapReduce ãªãƒ—ãƒã‚°ãƒ©ãƒ ã‚’æ›¸ããŸã‚ã® Scala/Java ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€‚æœ€å¤§ã®ç‰¹å¾´ã¯ã€ã²ã¨ãŸã³ SummingBird ã§æ›¸ã„ãŸã‚¸ãƒ§ãƒ–ã¯ Hadoop ã§ã‚‚ Storm ã§ã‚‚åŒã˜ã‚ˆã†ã«å®Ÿè¡Œã§ãã‚‹ã“ã¨ã€‚ SummingBird ã§ã¯ã€Hadoop ã‚’ä½¿ã†ã€Œãƒãƒƒãƒãƒ¢ãƒ¼ãƒ‰ã€ã¨ã€Storm ã‚’ä½¿ã†ã€Œãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãƒ¢ãƒ¼ãƒ‰ã€ã«åŠ ãˆã¦ã€äºŒã¤ã‚’åŒæ™‚ã«å®Ÿè¡Œã™ã‚‹ã€Œãƒã‚¤ãƒ–ãƒªãƒƒãƒ‰ãƒ¢ãƒ¼ãƒ‰ã€ãŒã‚ã‚‹ã€‚ãƒã‚¤ãƒ–ãƒªãƒƒãƒ‰ãƒ¢ãƒ¼ãƒ‰ã§ã¯ã€ã‚¸ãƒ§ãƒ–ã®ä½œè€…ãŒç‰¹ã«é…æ…®ã—ãªãã¦ã‚‚ã€ãƒãƒƒãƒã¨ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã®å‡¦ç†çµæžœã‚’è‡ªå‹•çš„ã«ãƒžãƒ¼ã‚¸ã§ãã‚‹ã€‚ ãƒã‚¤ãƒ–ãƒªãƒƒãƒ‰ãƒ¢ãƒ¼ãƒ‰ã§ã¯ã€åŒã˜ã‚¸ãƒ§ãƒ–ã‚’ Hadoop ã¨ Storm ã§åŒæ™‚ã«å®Ÿè¡Œã§ãã‚‹ã®ã§ã€Hadoop ã®è€éšœå®³æ€§
nsyee 2013/11/05
Scala

twitter

summingbird

Hadoop

Storm

monoid

tutorial
ãƒªãƒ³ã‚¯
Big Data Analytics with Scala
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
nsyee 2013/11/04
Scala

Storm

Hadoop
ãƒªãƒ³ã‚¯
GitHub - paulgb/haskell_hadoop: Haskell module for streaming hadoop MapReduce jobs
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nsyee 2013/10/30
haskell

Hadoop
ãƒªãƒ³ã‚¯
Windows Azureä¸Šã®Hadoopã‚µãƒ¼ãƒ“ã‚¹ã€ŒHDInsightã€ãŒæ£å¼å…¬é–‹ã€‚Excelã‹ã‚‰ã‚‚åˆ©ç”¨å¯èƒ½
Windows Azureä¸Šã®Hadoopã‚µãƒ¼ãƒ“ã‚¹ã€ŒHDInsightã€ãŒæ£å¼å…¬é–‹ã€‚Excelã‹ã‚‰ã‚‚åˆ©ç”¨å¯èƒ½ 3æœˆã‹ã‚‰ãƒ‘ãƒ–ãƒªãƒƒã‚¯ãƒ—ãƒ¬ãƒ“ãƒ¥ãƒ¼ãŒç¶šã„ã¦ã„ãŸã€Windows Azureã®ã‚¯ãƒ©ã‚¦ãƒ‰ã§Hadoopã‚¯ãƒ©ã‚¹ã‚¿ãŒåˆ©ç”¨å¯èƒ½ãªã‚µãƒ¼ãƒ“ã‚¹ã€ŒWindows Azure HD Insightã€ãŒæ£å¼å…¬é–‹ã•ã‚Œã¾ã—ãŸã€‚ HDInsightã¯ã€Hadoopã®æœ‰åŠ›ãªãƒ‡ã‚£ã‚¹ãƒˆãƒªãƒ“ãƒ¥ãƒ¼ã‚·ãƒ§ãƒ³ãƒ™ãƒ³ãƒ€ã®1ã¤ã§ã‚ã‚‹Hortonworkã®ã€ŒHDP for Windowsã€ã‚’Windows Azureã§å±•é–‹ã—ãŸã‚µãƒ¼ãƒ“ã‚¹ã€‚Hiveã€Pigã€Sqoopã€Oozieãªã©ã®æ©Ÿèƒ½ã‚‚å«ã¾ã‚Œã¦ã„ã¾ã™ã€‚ é€šå¸¸ã®MapReduceã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’åˆ©ç”¨ã—ã¦HDInsightã‚’ä½¿ã†ã ã‘ã§ãªãã€Excelã¨HDInsightã‚’æŽ¥ç¶šã—ã¦åˆ©ç”¨ã™ã‚‹ã“ã¨ã‚‚å¯èƒ½ã€‚ã€ŒHive ODBC Driver for HDInsightã€ã‚’ç”¨ã„ã¦ODBCãƒ‰ãƒ©ã‚¤ãƒçµŒç”±
nsyee 2013/10/30
Azure

Hadoop

Excel

windows
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Twitter: ãƒ‡ãƒ¼ã‚¿åˆ†æžåŸºç›¤æ”¹å–„å–ã‚Šçµ„ã¿ - ãƒ¯ã‚¶ãƒŽãƒ | wazanova.jp
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nsyee 2013/10/29
twitter

Hadoop
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GitHub - myui/hivemall: Scalable machine learning library for Apache Hive/Spark/Pig
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nsyee 2013/09/30
hive

Hadoop

machine-learning
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http://storm-project.net/
nsyee 2013/09/25
Scala

Hadoop

distributed

Storm
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Ansibleã‚’ä½¿ã£ã¦Hadoop(CDH4) ã‚¢ãƒƒãƒ—ãƒ‡ãƒ¼ãƒˆ â€“ OpenGroove
ï¼ˆæ¯Žæ—¥åŒã˜ã‚ˆã†ãªAnsibleãƒã‚¿è¨˜äº‹ã‚’æ›¸ã„ã¦ã„ã‚‹ã‚ˆã†ã ãŒã€ã“ã‚Œã§ã‚‚å¾®å¦™ã«é•ã†ï¼‰ ã¤ã„å…ˆæ—¥Hadoop CDH4ãŒ4.3.0ã‹ã‚‰4.3.1ã«ãªã£ãŸã®ã§ã€ã›ã£ã‹ãã ã‹ã‚‰Ansibleã‚’ä½¿ã£ã¦ã‚¢ãƒƒãƒ—ãƒ‡ãƒ¼ãƒˆã‚’ã‚„ã£ã¦ã¿ãŸã€‚å¯¾è±¡ã¯ç–‘ä¼¼åˆ†æ•£ç’°å¢ƒã ã‹ã‚‰ã‚ã–ã‚ã–Ansibleã‚’ä½¿ã‚ãªãã¦ã‚‚ã„ã„ã¨è¨€ãˆã°ã„ã„ã®ã ãŒã€ã“ã†ã„ã†å®šåž‹ä½œæ¥ã®æŠ½è±¡åŒ–ã«æ…£ã‚Œã¦ãŠããŸã„ã®ã§ã€ã¾ã€ç·´ç¿’ã®ã¤ã‚‚ã‚Šã§ã€‚ å®Ÿè¡Œç’°å¢ƒ ç®¡ç†ç”¨ãƒžã‚·ãƒ³ã‹ã‚‰Ansibleå®Ÿè¡Œ ï¼ˆAWS t1.micro CentOS 6.3ï¼‰ ã‚¢ãƒƒãƒ—ãƒ‡ãƒ¼ãƒˆå¯¾è±¡ã®Hadoopç–‘ä¼¼åˆ†æ•£ãƒ¢ãƒ¼ãƒ‰ãƒžã‚·ãƒ³ ï¼ˆAWS m1.small CentOS 6.3ï¼‰ ãƒ¡ã‚¤ãƒ³ã®playbookã¨ãªã‚‹cdh_update.yml å®Ÿè¡Œå ´æ‰€ç›´ä¸‹ã®tasksãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªã«åplaybookã‚’åˆ†ã‘ã¦æ ¼ç´ã—ã€ãã‚Œã‚‰ã‚’é †æ¬¡å®Ÿè¡Œã•ã›ã‚‹å‡¦ç†ã‚’è¨˜è¿°ã—ãŸã€‚ãƒ›ã‚¹ãƒˆã®å®šç¾©ã¯serversãƒ•ã‚¡ã‚¤ãƒ«ã«è¨˜è¿°ã€‚ serversï¼ˆ
nsyee 2013/09/18
Ansible

Hadoop
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