BigQuery - Wikipedia
BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service (PaaS) that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.[1] Bigquery originated from Google's internal Dremel tec
The Database World in a Venn Diagram
Copyright © 2009-2015. All rights reserved. This blog is called myNoSQL and it is written by me, Alex Popescu, a software architect with a passion for open source and communities. It records my readings, learnings, and opinions on NoSQL databases, polyglot persistence, and distributed systems -- subjects that I'm passionate about. The opinions expressed here are my own, and no other party necessar
BigQuery documentation  | Google Cloud
Stay organized with collections Save and categorize content based on your preferences. BigQuery is Google Cloud's fully managed, petabyte-scale, and cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near real time. With BigQuery, there's no infrastructure to set up or manage, letting you focus on finding meaningful insights using GoogleSQL and taking
Big Data: Transactions Plus Interactions Plus Observations
Copyright © 2009-2015. All rights reserved. This blog is called myNoSQL and it is written by me, Alex Popescu, a software architect with a passion for open source and communities. It records my readings, learnings, and opinions on NoSQL databases, polyglot persistence, and distributed systems -- subjects that I'm passionate about. The opinions expressed here are my own, and no other party necessar
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Hadoopã‚’ãƒãƒƒãƒå‡¦ç†ã®é«˜é€ŸåŒ–ã«æ´»ç”¨ã—ã¦ã„るノーãƒãƒ©ã‚¹ãƒ»ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚ºã¯ã€ãƒ“ッグデータã®ãƒ–ームã«çœŸã£å‘ã‹ã‚‰ç•°è«–ã‚’å”±ãˆã‚‹ã€‚「ビッグデータã¯ä¸èº«ã®ãªã„ãƒã‚ºãƒ¯ãƒ¼ãƒ‰ã€ã¨æ–言ã™ã‚‹ä»£è¡¨å–ç· å½¹ç¤¾é•· 神林飛志æ°ã«ã€ãã®çœŸæ„ã‚’èžã„ãŸã€‚ Hadoopï¼ãƒ“ッグデータã¯å¤§ããªèª¤è§£ ノーãƒãƒ©ã‚¹ãƒ»ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã‚ºã¯ã€åŸºå¹¹ç³»ã‚·ã‚¹ãƒ†ãƒ å‘ã‘ã®ãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢ã‚’手ãŒã‘る国産ベンãƒãƒ£ãƒ¼ã€‚Webサービスã®ã‚ˆã†ã«æ±ºã—ã¦æ´¾æ‰‹ã§ã¯ãªã„ãŒã€ã€Œãã‚‚ãもダウンã™ã‚‹ã¨ã€é£›è¡Œæ©ŸãŒé£›ã°ãªã„ã¨ã‹ã€ç—…院ã§äººãŒæ»ã‚“ã§ã—ã¾ã†ã¨ã‹ã€é›»è»ŠãŒå‹•ã‹ãªã„ã¨ã‹ã€ç”Ÿæ´»ã«å½±éŸ¿ãŒå‡ºã‚‹åˆ†é‡Žã€ï¼ˆç¥žæž—æ°ï¼‰ã¨ã„ã†ã€ã¾ã•ã«ãƒŸãƒƒã‚·ãƒ§ãƒ³ã‚¯ãƒªãƒ†ã‚£ã‚«ãƒ«ãªé ˜åŸŸã®ITã§ã€åŒç¤¾ã®è£½å“ã¯æ´»ç”¨ã•ã‚Œã¦ã„る。 åŒç¤¾ã®ã€ŒAsakusa Frameworkã€ã¯ã€Hadoopを活用ã—ãŸåˆ†æ•£å‡¦ç†ã«ã‚ˆã‚Šã€åŸºå¹¹ç³»ãƒãƒƒãƒã®é«˜é€ŸåŒ–を実ç¾ã™ã‚‹ã€‚神林æ°ã¯ã€ã€ŒHadoopã¨ã„ã†ã¨ã€Webã‚„SNSç³»ã€BIやデータ解æžã§ã®ä½¿ã„æ–¹ãŒãƒ¡
Big Data Market Analysis: Vendors Revenue and Forecasts
I think this is the first extensive Big Data report I’m reading that includes enough relevant and quite exhaustive data about the majority of players in the Big Data market, plus some captivating forecasts. As of early 2012, the Big Data market stands at just over $5 billion based on related software, hardware, and services revenue. Increased interest in and awareness of the power of Big Data and
ビッグデータã¯ã€Œ2012年版ã®BIã€ã€ã©ã†å£²ã‚Šè¾¼ã‚€ã®ã‹
「ビッグデータã€ã¯ä»Šã€æœ€ã‚‚引ãã®å¼·ã„ã‚ーワードã 。ユーザーä¼æ¥ã®ã‚·ã‚¹ãƒ†ãƒ 担当者ã®é–¢å¿ƒã‚‚高ã„ã¨ã‚ã£ã¦ã€ITベンダーã¯ç¶šã€…ã¨ãƒ“ッグデータソリューションãªã‚‹ã‚‚ã®ã‚’発表ã—ã¦ã„る。ãŸã ã—ã€ä¼æ¥çµŒå–¶è€…ã®ãƒ“ッグデータã«å¯¾ã™ã‚‹å°è±¡ã¯ãã‚“ãªã«è‰¯ããªã„。むã—ã‚ã€ç›´æ„Ÿçš„ã«èƒ¡æ•£è‡ã„ã¨æ€ã†çµŒå–¶è€…ãŒå¤šã„よã†ã 。 ビッグデータã€ã‚‚ã£ã¨æ£ç¢ºã«è¨€ãˆã°ã€Œãƒ“ッグデータ分æžã€ã ãŒã€ã“ã®ã‚ーワードãŒæ„味ã™ã‚‹ã‚‚ã®ã¯ã€Twitterãªã©ã‚½ãƒ¼ã‚·ãƒ£ãƒ«ãƒ¡ãƒ‡ã‚£ã‚¢ã®â€œã¤ã¶ã‚„ãâ€ã‚‚å«ã‚ãŸä¼æ¥å†…外ã®è†¨å¤§ãªãƒ‡ãƒ¼ã‚¿ã‚’分æžã—ã€ãƒ“ジãƒã‚¹ä¸Šã§æœ‰æ„ãªæƒ…å ±ï¼ˆã‚¤ãƒ³ãƒ†ãƒªã‚¸ã‚§ãƒ³ã‚¹ï¼‰ã‚’å¾—ã‚ˆã†ã¨ã„ã†ã‚‚ã®ã€‚ã¤ã¾ã‚Šã€æœ¬è³ªçš„ã«BIã¨å¤‰ã‚らãšã€è¨€ã†ãªã‚‰ã°ã€Œ2012年版ã®BIã€ã«ã»ã‹ãªã‚‰ãªã„。 ã§ã¯ã€å¾“æ¥ã®BIã®è©±ã¨ä½•ãŒé•ã†ã®ã‹ã¨ã„ã†ã¨ã€ã‚ˆã‚Šè†¨å¤§ãªãƒ‡ãƒ¼ã‚¿ã‚’活用ã§ãã‚‹ã“ã¨ã€åˆ†æžç”¨ã®ã‚·ã‚¹ãƒ†ãƒ ãŒæ±Žç”¨ã®PCサーãƒãƒ¼ã‚„OSS（オープンソースソフトウエア）を活用ã™ã‚‹ã“ã¨ã§å®‰ã済ã¿ãã†ãªã“ã¨ã§ã‚
Are small businesses ready for big data? Um, yes – Old GigaOm
When SAP(s sap) announced its HANA big data analytics for midmarket businesses Tuesday, one of the first questions was what smaller businesses do with big data. There is doubt that smaller companies even need big data. Let’s be clear: they do. Just as big enterprises look at unstructured data from social networks to gauge consumer sentiment, and relational data from databases, and perhaps machine
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centrodeinnovacionbbva.com - contact with domain owner | Epik.com
http://twitter.com/antibayesian/status/375175398595624960
Treasure Data, Inc. | Finding Gems in Your Big Data
http://techcrunch.com/2012/11/22/lattice-engines-raises-20m-for-predictive-analytics-platform-to-increase-sales/
http://www.greenplum.com/communities/developer/openchorus
Dremel: Interactive Analysis of Web-Scale Datasets
https://jp.techcrunch.com/2012/10/31/20121027big-data-right-now-five-trendy-open-source-technologies/
ApacheãŒGoogleã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ビッグデータツールDremelã®ã‚ªãƒ¼ãƒ—ンソースクãƒãƒ¼ãƒ³Drillã‚’
https://jp.techcrunch.com/2012/05/06/20120504the-rise-of-big-data-apps-and-the-fall-of-saas/
https://jp.techcrunch.com/2012/03/27/20120326dataxu-study/
White House to Announce Big Data R&D Initiative Thursday;Live Webcast Planned » CCC Blog
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