[B! bigdata] mi_kattunã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

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bigdataã«é–¢ã™ã‚‹mi_kattunã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (222)

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ã€ŒHadoopã®æ™‚ä»£ã¯çµ‚ã‚ã£ãŸã€ã®æ„å‘³ã‚’æ£ã—ãç†è§£ã™ã‚‹ - ç§‘å¦ã¨éžç§‘å¦ã®è¿·å®®
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mi_kattun 2017/07/11
hadoop

bigdata
ãƒªãƒ³ã‚¯
ã‚°ãƒ¼ã‚°ãƒ«ã®BigQueryã€é«˜é€Ÿå‡¦ç†ã®ä»•çµ„ã¿ã¯ã€Œã‚«ãƒ©ãƒ åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã€ã¨ã€Œãƒ„ãƒªãƒ¼æ§‹é€ ã€ã€‚è§£èª¬æ–‡æ›¸ãŒå…¬é–‹ ï¼ Publickey
ã‚°ãƒ¼ã‚°ãƒ«ã®BigQueryã€é«˜é€Ÿå‡¦ç†ã®ä»•çµ„ã¿ã¯ã€Œã‚«ãƒ©ãƒ åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã€ã¨ã€Œãƒ„ãƒªãƒ¼æ§‹é€ ã€ã€‚è§£èª¬æ–‡æ›¸ãŒå…¬é–‹ SQLã®ã‚¯ã‚¨ãƒªã«å¯¾å¿œã—ã€3å„„ä»¶ã‚’è¶…ãˆã‚‹ãƒ‡ãƒ¼ã‚¿ã«å¯¾ã—ã¦ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‚’ä½¿ã‚ãªã„ãƒ•ãƒ«ã‚¹ã‚ãƒ£ãƒ³æ¤œç´¢ã§10ç§’ä»¥å†…ã«çµæžœã‚’å‡ºã™ã€‚ã‚°ãƒ¼ã‚°ãƒ«ã®BigQueryã¯å¤§è¦æ¨¡ãªã‚¯ã‚¨ãƒªã‚’è¶…é«˜é€Ÿã§å®Ÿè¡Œã™ã‚‹èƒ½åŠ›ã‚’æä¾›ã™ã‚‹ã‚µãƒ¼ãƒ“ã‚¹ã§ã™ã€‚ãã®å†…éƒ¨ã‚’è§£èª¬ã™ã‚‹æ–‡æ›¸ã€ŒAn Inside Look at Google BigQueryã€ï¼ˆPDFï¼‰ã‚’å…¬é–‹ã—ã¾ã—ãŸã€‚ ã‚°ãƒ¼ã‚°ãƒ«ã¯å¤§è¦æ¨¡ã‚¯ã‚¨ãƒªã‚’å®Ÿè¡Œã™ã‚‹ã‚µãƒ¼ãƒ“ã‚¹ã¨ã—ã¦ç¤¾å†…ã§ã‚³ãƒ¼ãƒ‰ãƒãƒ¼ãƒ ã€ŒDremelã€ã‚’æ§‹ç¯‰ã—ã¦ãŠã‚Šã€2010å¹´ã«ãã®Dremelã‚’è§£èª¬ã™ã‚‹æ–‡æ›¸ã€ŒDremel: Interactive Analysis of Web-Scale Datasetsã€ã‚’å…¬é–‹ã—ã¦ã„ã¾ã™ã€‚BigQueryã¯ã€ãã®Dremelã‚’å¤–éƒ¨å…¬é–‹å‘ã‘ã«å®Ÿè£…ã—ãŸã‚‚ã®ã§ã™ã€‚ ã‚°ãƒ¼ã‚°ãƒ«ã¯ã“ã®Dremel/BigQue
mi_kattun 2014/05/19
google

bigdata
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Googleã®è™Žã®åã€ŒBigQueryã€ã‚’Fluentdãƒ¦ãƒ¼ã‚¶ãƒ¼ãŒä½¿ã‚ãªã„ç†ç”±ãŒãªããªã£ãŸç†ç”± #gcpja - Qiita
From Fluentd Meetupã«è¡Œã£ã¦ãã¾ã—ãŸ ã“ã‚Œã‚’èªã‚“ã æ™‚ã€BigQueryã®æ¤œç´¢ã‚¹ãƒ”ãƒ¼ãƒ‰ã«ã¤ã„ã¦ã¡ã‚‡ã£ã¨è£œè¶³ã—ãŸããªã£ãŸã€‚ç¢ºã‹ã«Fluentd Meetupã®ãƒ‡ãƒ¢ã§ã¯9å„„ä»¶ã‚’7ç§’ç¨‹åº¦ã§æ¤œç´¢ã—ã¦ã„ãŸãŒã€BigQueryã®çœŸã®å®ŸåŠ›ã¯ã“ã‚Œã‚ˆã‚Š1ã€œ2ã‚±ã‚¿ä¸Šã ã‹ã‚‰ã ã€‚ã¡ã‚‡ã£ã¨æ‰‹å…ƒã§å°‘ã—å¤§ãã‚ã®ãƒ†ãƒ¼ãƒ–ãƒ«ã§è©¦ã—ã¦ã¿ãŸã‚‰ã€120å„„è¡Œã®æ£è¦è¡¨ç¾ãƒžãƒƒãƒä»˜ãé›†è¨ˆãŒ5ç§’ã§å®Œäº†ã—ãŸã€‚è«–ã‚ˆã‚Šè¨¼æ‹ ã§ã€ãƒ‡ãƒ¢ãƒ“ãƒ‡ã‚ªï¼ˆ1åˆ†16ç§’ï¼‰ã‚’ä½œã£ã¦ã¿ãŸï¼š From The Speed of Google BigQuery ã“ã‚Œã¯é€Ÿã™ãŽã‚‹ã€‚ä½•ã‹ã®ã‚¤ãƒ³ãƒã‚ã§ã‚ã‚‹ï¼ˆæœ€åˆã«ãƒ‡ãƒ¢ã‚’è¦‹ãŸæ™‚ãã†æ€ã£ãŸï¼‰ã€‚æ£è¦è¡¨ç¾ã‚’ã„ã‚ã„ã‚å¤‰ãˆã¦ã¿ã¦ã‚‚ã‚¹ãƒ”ãƒ¼ãƒ‰ã¯å¤‰ã‚ã‚‰ãªã„ã€‚ã¤ã¾ã‚Šã€ã‚¤ãƒ³ãƒ‡ãƒƒã‚¯ã‚¹ã‚’äº‹å‰æ§‹ç¯‰ã§ããªã„ã‚¯ã‚¨ãƒªã«å¯¾ã—ã¦ã“ã®ã‚¹ãƒ”ãƒ¼ãƒ‰ãªã®ã§ã‚ã‚‹ã€‚ ä¾¡æ ¼ã‚‚å®‰ã„ã€‚ã•ã™ãŒã«120å„„è¡Œã®ã‚¯ã‚¨ãƒªã¯1å›žã§200å††ã‚‚ã‹ã‹ã£ã¦æ°—è»½ã«å®Ÿè¡Œã§ããªã•ãã†ã§ã‚ã‚‹ãŒã€1.2å„„
mi_kattun 2014/05/19
bigdata

fluentd

google
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Common Crawl - Open Repository of Web Crawl Data
Common Crawl maintains a free, open repository of web crawl data that can be used by anyone.Common Crawl is a 501(c)(3) nonâ€“profit founded in 2007. â€ We make wholesale extraction, transf ormation and analysis of open web data accessible to researchers.Overview Over 250 billion pages spanning 15 years.Free and open corpus since 2007.Cited in over 10,000 research papers.3â€“5 billion new pages added ea
mi_kattun 2013/11/28
bigdata

*dataset
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Presto: Free, Open-Source SQL Query Engine for any Data
Calling our Presto community speakers â€“ we want to hear from you! Fill out out community call for papers to speak at upcoming meetups andÂ conferences. What is Presto?Presto is an open source SQL query engine thatâ€™s fast, reliable, and efficient at scale. Use Presto to run interactive/ad hoc queries at sub-second performance for your high volume apps.
mi_kattun 2013/11/07
facebook

bigdata
ãƒªãƒ³ã‚¯
Hadoopåˆã®ãƒ¡ãƒ¼ã‚¸ãƒ£ãƒ¼ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚¢ãƒƒãƒ—ã€ŒHadoop 2ã€æ£å¼ç‰ˆãŒå…¬é–‹ã€‚MapReduceä»¥å¤–ã®åˆ†æ•£å‡¦ç†ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ã‚‚å®Ÿè¡Œå¯èƒ½ã«
The Apache Software Foundationã¯ã€Hadoopã®åˆã‚ã¦ã®ãƒ¡ã‚¸ãƒ£ãƒ¼ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚¢ãƒƒãƒ—ã¨ãªã‚‹ã€ŒApache Hadoop 2ã€ã®æ£å¼ç‰ˆå…¬é–‹ã‚’ç™ºè¡¨ã—ã¾ã—ãŸã€‚ Hadoopã¯2004å¹´ã«GoogleãŒå…¬é–‹ã—ãŸMapReduceã«é–¢ã™ã‚‹è«–æ–‡ã‚’å…ƒã«ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã¨ã—ã¦é–‹ç™ºã•ã‚ŒãŸã‚‚ã®ã§ã—ãŸã€‚Hadoopã®é–‹ç™ºè€…ã§ã‚ã‚‹ãƒ€ã‚°ãƒ»ã‚«ãƒƒãƒ†ã‚£ãƒ³ã‚°æ°ã¯ã€Hadoop 2ã®ãƒ—ãƒ¬ã‚¹ãƒªãƒªãƒ¼ã‚¹ã§æ¬¡ã®ã‚ˆã†ã«ç™ºè¨€ã—ã¦ã„ã¾ã™ã€‚ "What started out a few years ago as a scala ble batch processing system for Java programmers has now emerged as the kernel of the operating system for big data," said original Hadoop creator
mi_kattun 2013/10/17
hadoop

bigdata

*news
ãƒªãƒ³ã‚¯
Hadoopç’°å¢ƒã‚’å³ç«‹ã¡ä¸Šã’ã€BigInsightsãŒä½¿ãˆã‚‹PureData SystemãŒç™»å ´
Hadoopç’°å¢ƒã‚’å³ç«‹ã¡ä¸Šã’ã€BigInsightsãŒä½¿ãˆã‚‹PureData SystemãŒç™»å ´ï¼šè£½å“å‹•å‘ SQLã‚¯ã‚¨ãƒªãŒä½¿ãˆã‚‹Hadoopç’°å¢ƒã‚’å³ç«‹ã¡ä¸Šã’ã§ãã‚‹PureData Systemè£½å“ãŒç™»å ´ã€‚çµ±åˆç®¡ç†ãƒ„ãƒ¼ãƒ«ã¨ä½µã›ã¦ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°æ¸ˆã¿ã®çŠ¶æ…‹ã§æä¾›ã™ã‚‹ã€‚ æ—¥æœ¬IBMã¯2013å¹´10æœˆ15æ—¥ã€åŒç¤¾åž‚ç›´çµ±åˆã‚·ã‚¹ãƒ†ãƒ ã€ŒPure Systemã€ã®ä¸ã§ã‚‚ãƒ‡ãƒ¼ã‚¿å‡¦ç†ã«ç‰¹åŒ–ã—ãŸã€ŒPure Data Systemã€ãƒ©ã‚¤ãƒ³ã‚¢ãƒƒãƒ—ã«æ–°ãŸã«Apache Hadoopå‘ã‘ã€ŒIBM PureData System for Hadoop H1001ã€ã¨Netezzaã®æŠ€è¡“ã‚’åŸºã«ã—ãŸé«˜é€Ÿä¸¦åˆ—å‡¦ç†å‘ã‘è£½å“ã®ã‚¨ãƒ³ãƒˆãƒªãƒ¢ãƒ‡ãƒ«ã€ŒIBM PureData System for Analytics N2002-002ã€ã‚’è¿½åŠ ã—ãŸã€‚IBM PureData System for Hadoop H1001ã¯åŒæ—¥è²©å£²é–‹å§‹ã€IBM
mi_kattun 2013/10/16
ibm

hadoop

*news

bigdata
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ã¿ã‚“ãªãƒ“ãƒƒã‚¯ãƒ‡ãƒ¼ã‚¿ãƒ“ãƒƒã‚¯ãƒ‡ãƒ¼ã‚¿ã£ã¦è¨€ã£ã¦ã‚‹ã‘ã© åå¯„ã›ã¨ã‹ã©ã†ã—ã¦ã‚“ã®ï¼Ÿ
è‡ªç”±è¨ºç™‚ã‚¯ãƒªãƒ‹ãƒƒã‚¯å‘ã‘ã®ã‚ªãƒ¼ãƒ«ã‚¤ãƒ³ãƒ¯ãƒ³SaaSã€Œmedicalforceã€ã€è¦å‚™äº‹æ¥è€…å‘ã‘ã‚ªãƒ¼ãƒ«ã‚¤ãƒ³ãƒ¯ãƒ³SaaSã€Œè¦å‚™ãƒ•ã‚©ãƒ¼ã‚¹ã€ã‚’æä¾›ã™ã‚‹æ ªå¼ä¼šç¤¾ãƒ¡ãƒ‡ã‚£ã‚«ãƒ«ãƒ•ã‚©ãƒ¼ã‚¹ã€‚ãƒ•ãƒ«ã‚¹ã‚¯ãƒ©ãƒƒãƒã§ã®é–‹ç™ºã‚’å®Ÿç¾ã•ã›ã‚‹ã‚¹ã‚¯ãƒ©ãƒ ã®æ§‹ç¯‰ã‚’ã¾ã¨ã‚ã¾ã—ãŸ Developer eXperience Day 2024 æ ªå¼ä¼šç¤¾ãƒ¡ãƒ‡ã‚£ã‚«ãƒ«ãƒ•ã‚©ãƒ¼ã‚¹ CTO ç• ä¸ ç¿”ä¸€ï¼ˆ@punk_punxï¼‰ç™»å£‡ã‚¹ãƒ©ã‚¤ãƒ‰
mi_kattun 2013/10/06
bigdata
ãƒªãƒ³ã‚¯
Big Dataå…¥é–€ã«è¦‹ã›ã‹ã‘ãŸFluentdå…¥é–€
2013å¹´7æœˆ5æ—¥ã€ç¤¾å†…å‹‰å¼·ä¼šã§ä½¿ç”¨ã—ãŸè³‡æ–™ã§ã™ï¼ˆä¸€éƒ¨ä¿®æ£æ¸ˆã¿ï¼‰ã€‚ ãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã¯ã‚¯ãƒªã‚¨ã‚¤ãƒ†ã‚£ãƒ–ãƒ»ã‚³ãƒ¢ãƒ³ã‚ºãƒ»ã‚¼ãƒã¨ã—ã¾ã™ã€‚ã”è‡ªç”±ã«ãŠä½¿ã„ä¸‹ã•ã„ã€‚ ã‚½ãƒ¼ã‚¹ã®PowerPointãƒ•ã‚¡ã‚¤ãƒ«ã¯ã“ã¡ã‚‰ => http://bit.ly/begining_fluentd_learning_big_data fluent-plugin-glusterfsã¯ã“ã¡ã‚‰ => https://github.com/keithseahus/fluent-plugin-glusterfsRead less
mi_kattun 2013/07/21
fluentd

bigdata
ãƒªãƒ³ã‚¯
Progressive, Allstate, Traveler's Bank on Big Data to Drive New Business
mi_kattun 2013/06/04
bigdata
ãƒªãƒ³ã‚¯
é€£è¼‰: IBM Watson Workspace #é¬¼ã‚ã‹ ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³é–‹ç™º: ç¬¬ 7 å›ž: IBM Watson Workspace ã§ AI ã‚’åˆ©ç”¨ã—ãŸã‚¢ãƒ—ãƒªé€£æºã®å®Ÿç¾ #é¬¼ã‚ã‹ è§£èª¬ï¼ˆå‰ç·¨ï¼‰
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mi_kattun 2013/05/29
bigdata
ãƒªãƒ³ã‚¯
Radar - Oâ€™Reilly
Now, next, and beyond: Tracking need-to-know trends at the intersection of business and techno logy AI/ML Few techno logies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML). Future of the Firm Everything from new organizational structures and payment schemes to new expectations, skills, and tools will shape the future of the fi
mi_kattun 2013/05/27
bigdata
ãƒªãƒ³ã‚¯
The evolution of data products - Strata
The evolution of data products The data that drives products is shifting from overt to covert. In â€œWhat is Data Science?,â€ I started to talk about the nature of data products. Since then, weâ€™ve seen a lot of exciting new products, most of which involve data analysis to an extent that we couldnâ€™t have imagined a few years ago. But that begs some important questions: What happens when data becomes a
mi_kattun 2013/05/22
bigdata
ãƒªãƒ³ã‚¯
Treasure Data, Inc. | Finding Gems in Your Big Data
Deliver The Experiences You Canâ€™t TodayUnlike other customer data platforms (CDPs), only Treasure Data combines batch and real-time data to personalize journeys with Al. The results? Increased conversions and optimized spend across channels.
mi_kattun 2013/05/21
bigdata
ãƒªãƒ³ã‚¯
ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€ã‚«ãƒ©ãƒ åž‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯ä½¿ã„ç‰©ã«ãªã‚‹ã®ã‹ï¼Ÿ ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªã¨ã‚«ãƒ©ãƒ åž‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å¯èƒ½æ€§ã‚’èª¿ã¹ã‚‹ï¼ˆãã®1ï¼‰
ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€ã‚«ãƒ©ãƒ åž‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¯ä½¿ã„ç‰©ã«ãªã‚‹ã®ã‹ï¼Ÿ ã‚¤ãƒ³ãƒ¡ãƒ¢ãƒªã¨ã‚«ãƒ©ãƒ åž‹ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã®å¯èƒ½æ€§ã‚’èª¿ã¹ã‚‹ï¼ˆãã®1ï¼‰ ERPãƒ™ãƒ³ãƒ€æœ€å¤§æ‰‹ã®SAPã¯2010å¹´ã€æ–°è¦ã«é–‹ç™ºã—ãŸãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€ŒSAP HANAã€ï¼ˆå½“æ™‚ã®åç§°ã¯ã€ŒSAP High-Performance Analytics Applianceã€ï¼‰ã‚’ç™ºè¡¨ã—ã¾ã—ãŸã€‚ HANAã®è£½å“åŒ–ã‚’èƒŒæ™¯ã«ã€SAPã¯2012å¹´5æœˆã«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å¸‚å ´ã¸ã®æœ¬æ ¼å‚å…¥ã‚’å®£è¨€ã—ã€ã‚ªãƒ©ã‚¯ãƒ«ã‚„IBMã€ãƒžã‚¤ã‚¯ãƒã‚½ãƒ•ãƒˆã¨ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹å¸‚å ´ã§ç«¶åˆã—ã¦ã„ãã“ã¨ã‚’è¡¨æ˜Žã€‚ãã—ã¦ä»Šå¹´2013å¹´2æœˆã«ã¯ã¤ã„ã«ERPã¨çµ„ã¿åˆã‚ã›ãŸã€ŒSAP Business Suite powered by SAP HANAã€ã®å‡ºè·ã‚’é–‹å§‹ã—ã€æ¥å‹™ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã—ã¦HANAã®æœ¬æ ¼åˆ©ç”¨ã‚’é–‹å§‹ã—ã¾ã—ãŸã€‚ HANAã«ã¯ã€ã“ã‚Œã¾ã§ä¸»æµã ã£ãŸãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã¯ç•°ãªã‚‹
mi_kattun 2013/05/20
bigdata

sap
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http://www-06.ibm.com/jp/press/pdf/archive_2013.pdf
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mi_kattun 2013/04/26
ibm

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bigdata
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Home Hybrid cloud software for a smarter business Hybrid cloud software for a smarter business Speed your Digital ReinventionÂ® by infusing the intelligence of AI and the agility of hybrid cloud to modernize, predict, automate and add security to your business
mi_kattun 2013/04/16
ibm

bigdata

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Yahoo! JAPAN
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mi_kattun 2013/03/11
bigdata
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mi_kattun 2013/03/04
bigdata
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mi_kattun 2013/02/22
bigdata

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