Cloudera Blog
Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Cloudera recently signed a strategic collaboration agreement with Amazon […] Read blog p
Impala データサイエンティストã®ãŸã‚㮠高速大è¦æ¨¡åˆ†æ•£åŸºç›¤ #tokyowebmining
Tokyo Webmining #25 ã§ç™ºè¡¨ã—ãŸã¨ãã®è³‡æ–™ã§ã™ã€‚メインã¯ãƒ‡ãƒ¢ã®æ–¹ã§ã™Read less
Cloudera World Tokyo 2013ã«å‚åŠ ã—ã¦ãã¾ã—㟠#cwt2013 | DevelopersIO
Cloudera World Tokyo 2013ã«å‚åŠ ã—ã¦ãã¾ã—ãŸã€‚ http://www.cloudera.co.jp/jpevents/cwt2013/index.html åˆå‰ä¸ã¯ç”¨äº‹ãŒã‚ã£ãŸã®ã§åˆå¾Œã‹ã‚‰ã®å‚åŠ ã¨ãªã‚Šã¾ã—ãŸã€‚å‚åŠ ã—ãŸã®ã¯ä»¥ä¸‹ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ã™ã€‚ 13時30分〜14時10分 CDHæœ€æ–°æƒ…å ± 14時25分〜15時05分 Hadoopデータプラットフォーム15時30分〜16時10分 SQLã§å®Ÿç¾ã™ã‚‹ãƒãƒƒãƒå‡¦ç†ã¨ã‚¹ãƒˆãƒªãƒ¼ãƒ å‡¦ç† 16時25分〜17時05分 Hadoopã®é‹ç”¨ 17時20分〜18時00分 Hadoop コミュニティ㨠YARN ã®ç¾çŠ¶ ã¨ã„ã†ã“ã¨ã§å‚åŠ ãƒ¬ãƒãƒ¼ãƒˆã§ã™ãŒã€ç¾æ™‚点ã§ã‚¹ãƒ©ã‚¤ãƒ‰ãŒå…¬é–‹ã•ã‚Œã¦ã„ãªã„ã‚‚ã®ãŒå¤§åŠã ã£ãŸã®ã§ã€å„セッションã«é–¢ã—ã¦æ¦‚è¦ã¨ã„ã„ã¤ã¤è©³ç´°ã¾ã§æ›¸ã„ã¦ã„ã¾ã™ã€‚ã“ã“ã«ã¤ã„ã¦ã¯ã‚¹ãƒ©ã‚¤ãƒ‰ãŒå…¬é–‹ã•ã‚ŒãŸã‚¿ã‚¤ãƒŸãƒ³ã‚°ã§å·®ã—替ãˆã¦ã„ã予定ã§ã™ã€‚ CDH最新情
CDH Components
What's Inside CDH CDH is Cloudera's distribution of Apache Hadoop and related projects, shipped inside Cloudera Standard. All components are open source (Apache License). For an automated, all-in-one install experience, download Cloudera Standard. To run CDH inside a desktop sandbox, install the QuickStart VM. Download Cloudera Standard Download QuickStart VM Apache Hadoop Unifies data storage (HD
Evaluation of cloudera impala 1.1
This document evaluates the performance of Cloudera Impala 1.1 using two clusters. It finds that RCFile with Snappy compression provides the fastest performance for both Hive and Impala on the clusters for reading-only workloads. Parquet with Snappy may be fastest for larger tables. Issues were identified with memory limits during Parquet table creation and were later fixed. The evaluation shows I
Hadoopé‹ç”¨ç®¡ç†ã®ä»Šâ€•ãã®2　Cloudera Managerを使ã£ã¦ã¿ã‚ˆã†â€•
EnterpriseZine（エンタープライズジン）編集部ã§ã¯ã€æƒ…å ±ã‚·ã‚¹ãƒ†ãƒ æ‹…å½“ã€ã‚»ã‚ュリティ担当ã®æ–¹ã€…å‘ã‘ã«ã€EnterpriseZine Dayã€Security Online Dayã€DataTechã¨ã„ã†ã€3ã¤ã®ã‚¤ãƒ™ãƒ³ãƒˆã‚’開催ã—ã¦ãŠã‚Šã¾ã™ã€‚ãã‚Œãžã‚Œç·¨é›†éƒ¨ç‹¬è‡ªã®åˆ‡ã‚Šå£ã§ã€æ¥ç•Œãƒˆãƒ¬ãƒ³ãƒ‰ã‚„最新事例を網羅。最新ã®å‹•å‘を知るã“ã¨ãŒã§ãã‚‹å ´ã¨ã—ã¦ã€å¥½è©•ã‚’å¾—ã¦ã„ã¾ã™ã€‚
Cloudera buys machine learning startup Myrrix – Old GigaOm
Hadoop bigwig Cloudera is continuing on its mission to become a one-stop shop for big data by acquiring a London-based machine learning startup called Myrrix. Myrrix founder Sean Owen, who’s now Cloudera’s director of data science in London, announced the acquisition — Cloudera’s first — in a Tuesday morning blog post. It’s hard to overstate how much sense the move makes for Cloudera, which needs
Cloudera Standard ã®ã”案内 ~ 無償版 大幅機能強化ã®ãŠçŸ¥ã‚‰ã› | Cloudera Japan
Cloudera ã¯ã€æœ€å¤§è¦æ¨¡ã®ä¼æ¥ãŒã‚ã‚‰ã‚†ã‚‹å ´æ‰€ã«å˜åœ¨ã™ã‚‹ã™ã¹ã¦ã®ãƒ‡ãƒ¼ã‚¿ã‚’ä¿¡é ¼æ€§ã®é«˜ã„有æ„義ãªæ´žå¯Ÿã«å¤‰æ›ã§ãるよã†æ”¯æ´ã—ã¾ã™ã€‚ Trusted Data Today for Tomorrow’s AI (今日ã®ä¿¡é ¼ã§ãるデータをã€æ˜Žæ—¥ã® AI ã«è¨—ã™) データ㨠AI ãŒãƒ†ãƒ¼ãƒžã®ãƒ—レミアカンファレンスã§ã€æ¥ç•Œæœ€å‰ç·šã®æ˜Žç¢ºãªãƒ“ジョンをæŒã£ãŸæ–¹ã€…やソートリーダーã‹ã‚‰è²´é‡ãªæ´žå¯Ÿã‚’å¾—ã‚‹ã“ã¨ãŒã§ãã¾ã™ã€‚
Cloudera QuickStart VM - Cloudera Support
This VM contains a sample of Cloudera’s platform for "Big Data". Although the true power of Hadoop comes when it can be distributed across hundreds, even thousands of nodes, this VM makes it easy for you to learn about industry-leading tools without having to set up a full cluster. Last Updated: April 2013 The VM from Cloudera are available in VMware, VirtualBox and KVM flavors, and all require
Cloudera | ãƒã‚¤ãƒ–リッドデータカンパニー
ãƒ‡ãƒ¼ã‚¿ã‚’ä¿¡é ¼ã—ã€AI ã‚’ä¿¡é ¼ã™ã‚‹ ä¿¡é ¼ã§ãるデータã€ä¿¡é ¼ã§ãるモデルã€ä¿¡é ¼ã§ãã‚‹ AI を実ç¾ã™ã‚‹ãŸã‚ã«ã€ã“ã‚Œã»ã©å¤šãã®ã‚¯ãƒ©ã‚¦ãƒ‰ã®ã•ã¾ã–ã¾ãªãƒ‡ãƒ¼ã‚¿ã‚¿ã‚¤ãƒ—を管ç†ã§ãã€ã‚ªãƒ¼ãƒ—ンデータã®ã‚¤ãƒŽãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã¨å¤§è¦æ¨¡å±•é–‹ã«å¯¾å¿œã§ãるプラットフォームã¯ä»–ã«ã‚ã‚Šã¾ã›ã‚“。
Cloudera | ãƒã‚¤ãƒ–リッドデータカンパニー
ãƒ‡ãƒ¼ã‚¿ã‚’ä¿¡é ¼ã—ã€AI ã‚’ä¿¡é ¼ã™ã‚‹ ä¿¡é ¼ã§ãるデータã€ä¿¡é ¼ã§ãるモデルã€ä¿¡é ¼ã§ãã‚‹ AI を実ç¾ã™ã‚‹ãŸã‚ã«ã€ã“ã‚Œã»ã©å¤šãã®ã‚¯ãƒ©ã‚¦ãƒ‰ã®ã•ã¾ã–ã¾ãªãƒ‡ãƒ¼ã‚¿ã‚¿ã‚¤ãƒ—を管ç†ã§ãã€ã‚ªãƒ¼ãƒ—ンデータã®ã‚¤ãƒŽãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã¨å¤§è¦æ¨¡å±•é–‹ã«å¯¾å¿œã§ãるプラットフォームã¯ä»–ã«ã‚ã‚Šã¾ã›ã‚“。
Cloudera Impala：Apache Hadoopã§å®Ÿç¾ã™ã‚‹ã€çœŸã®ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ クエリ | Cloudera Japan
ãƒ‡ãƒ¼ã‚¿ã‚’ä¿¡é ¼ã—ã€AI ã‚’ä¿¡é ¼ã™ã‚‹ ä¿¡é ¼ã§ãるデータã€ä¿¡é ¼ã§ãるモデルã€ä¿¡é ¼ã§ãã‚‹ AI を実ç¾ã™ã‚‹ãŸã‚ã«ã€ã“ã‚Œã»ã©å¤šãã®ã‚¯ãƒ©ã‚¦ãƒ‰ã®ã•ã¾ã–ã¾ãªãƒ‡ãƒ¼ã‚¿ã‚¿ã‚¤ãƒ—を管ç†ã§ãã€ã‚ªãƒ¼ãƒ—ンデータã®ã‚¤ãƒŽãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã¨å¤§è¦æ¨¡å±•é–‹ã«å¯¾å¿œã§ãるプラットフォームã¯ä»–ã«ã‚ã‚Šã¾ã›ã‚“。
Hadoopã®SQL対応分散クエリエンジン「Cloudera Impalaã€ã€‚ClouderaãŒã‚ªãƒ¼ãƒ—ンソースã§å…¬é–‹
Hadoopã®SQL対応分散クエリエンジン「Cloudera Impalaã€ã€‚ClouderaãŒã‚ªãƒ¼ãƒ—ンソースã§å…¬é–‹ Hadoopã®ãƒ‡ã‚£ã‚¹ãƒˆãƒªãƒ“ューションベンダã¨ã—ã¦çŸ¥ã‚‰ã‚Œã‚‹Clouderaã¯10月25æ—¥ã€SQLã«å¯¾å¿œã—ã€ãƒ‡ãƒ¼ã‚¿ã®åˆ†æžé€Ÿåº¦ã¯MapReduceよりも何å€ã‚‚高速ã ã¨ã„ã†æ–°ã—ã„分散クエリエンジン「Cloudera Impalaã€ï¼ˆè£½å“å「Cloudera Enterprise RTQã€ï¼‰ã‚’オープンソースã§å…¬é–‹ã—ã¾ã—ãŸã€‚ ã“ã‚Œã¾ã§Hadoopã§ã¯å†…部ã§MapReduceã¨å‘¼ã°ã‚Œã‚‹å‡¦ç†ãŒç”¨ã„られã¦ã„ã¾ã—ãŸãŒã€Impalaã§ã¯MapReduceを使ã‚ãšã€ClouderaãŒ2å¹´ã‹ã‘ã¦é–‹ç™ºã—ãŸç‹¬è‡ªã®åˆ†æ•£ã‚¯ã‚¨ãƒªã‚¨ãƒ³ã‚¸ãƒ³ã‚’用ã„ã¦å‡¦ç†ã‚’è¡Œã„ã¾ã™ã€‚Hiveã®ä¸Šä½äº’æ›ã®SQLãŒåˆ©ç”¨ã§ãã€Hive/MapReduceã§æ•°åˆ†ã‹ã‹ã£ã¦ã„ãŸå¿œç”時間を数秒ã«çŸç¸®ã™ã‚‹ã¨èª¬æ˜Žã•ã‚Œã¦ã„ã¾ã™ã€‚ グーグルã®Dremel
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