Hadoop/HBaseã®Nodeã®decommission
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On Hadoop and Big Data. Interview with John Leach | ODBMS Industry Watch
Trends and Information on AI, Big Data, New Data Management Technologies, Data Science and Innovation. “One common struggle for data-driven enterprises is managing unnecessarily complicated data workflows with bloated ETL pipelines and a lack of native system integration.â€â€“ John Leach I have interviewed John Leach, CTO & Cofounder Splice Machine.  Main topics of the interview are Hadoop, Big Data
KDnuggets
5 Tips for Writing Better Python Functions This tutorial covers five simple yet effective practices for writing better and maintainable Python functions. By Bala Priya C, KDnuggets Contributing Editor & Technical Content Specialist on June 4, 2024 in Python Beginner’s Guide to Machine Learning with Python Master the Fundamentals of Predictive Modeling with Python: An In-Depth Guide to Machine Lear
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New Custom Timeline ä¿å˜ç‰ˆã®è°è«–。ã¯ã˜ã‚ã¦Twitter Custom Timelineを作ã£ã¦ã¿ãŸã‘ã©ã€ã‚ã‚“ã©ãã•ã„ã。 Permalink | Tag： Bigtable , Google About Publickey Topics 「Publickey Topicsã€ã¯ã€ã‚¨ãƒ³ã‚¿ãƒ¼ãƒ—ライズITã€ã‚¯ãƒ©ã‚¦ãƒ‰ã€Web標準ãªã©ã®ãƒˆãƒ”ックスを紹介ã™ã‚‹ã‚ュレーションメディアã§ã™ã€‚ ブãƒã‚°ãƒ¡ãƒ‡ã‚£ã‚¢ã€ŒPublickeyã€ã‚’書ããŸã‚ã«é›†ã‚ãŸæƒ…å ±ã‚’åŸºã«ã—ã¦ã„ã¾ã™ã€‚ Publickey Topicsã®æ–°ç€æƒ…å ±ã‚’ãƒã‚§ãƒƒã‚¯ã—ã¾ã›ã‚“ã‹ï¼Ÿ Twitter㧠： @Publickey RSSリーダー㧠： Feed Blogger in Chief Junichi Niino（jniino） ITç³»ã®é›‘誌編集者ã€ã‚ªãƒ³ãƒ©ã‚¤ãƒ³ãƒ¡ãƒ‡ã‚£ã‚¢ç™ºè¡Œäººã‚’経ã¦ç‹¬ç«‹ã€‚æ–°ã—ã„オンラインメディアã®å¯èƒ½æ€§ã‚’追求ã—ã¦ã„ã¾ã™
ãªãœApache HBaseã‚’é¸ã¶ã®ã‹ï¼Ÿ #cwt2013
1. DO NOT USE PUBLICLY PRIOR TO 10/23/12 ãªãœApache HBaseã‚’é¸ã¶ã®ã‹? Headline Goes Here Jonathan Hsieh | @jmhsieh Speaker Name or Subhead Goes Here SoHware Engineer at Cloudera | HBase PMC Member November 7th, 2013, Cloudera World Japan 2013 2. 自己紹介 •  Cloudera: •  ソフトウェアエンジニア •  Tech Lead HBase Team •  Apache HBase commiRer / PMC •  Apache Flume founder / PMC •  ワシントン大å¦: •  分散システムã®ç ”究 2 11/7/13 Cloudera
Facebookã®æ–°ã—ã„リアルタイム解æžã‚·ã‚¹ãƒ†ãƒ ã¨ã¯ï¼Ÿ - nokunoã®æ—¥è¨˜
Facebookã®æ–°ã—ã„リアルタイム解æžã®ã‚·ã‚¹ãƒ†ãƒ ã§ã¯ã€HBaseã§1æ—¥200億件ã®ã‚¤ãƒ™ãƒ³ãƒˆã‚’処ç†ã—ã¦ã„ã‚‹ãã†ã§ã™ã€‚以下ã®è¨˜äº‹ã®ç¿»è¨³ã§ã™ã€‚High Scalability - High Scalability - Facebook’s New Realtime Analytics System: HBase to Process 20 Billion Events Per DayFacebookãŒã¾ãŸã‚„ã£ã¦ãã‚ŒãŸã€‚彼らã¯å·¨å¤§ãªãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ データã®ã‚¹ãƒˆãƒªãƒ¼ãƒ を処ç†ã™ã‚‹ã‚‚ã†1ã¤ã®ã‚·ã‚¹ãƒ†ãƒ を構築ã—ãŸã®ã 。以å‰ã«ã‚‚Facebookã¯ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãªãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ã‚·ã‚¹ãƒ†ãƒ ã‚’HBaseã§æ§‹ç¯‰ã—ã¦ã„ã‚‹(http://highscalability.com/blog/2010/11/16/facebooks-new-real-time-messaging-system-hbase-to-store-135.ht
James Kinley (The Lambda architecture: principles for...)
The Lambda architecture: principles for architecting realtime Big Data systems query = function(all data) I’ve started reading “Big Data - Principles and best practices of scalable realtime data systems†by Nathan Marz and James Warren. Throughout 2012 Manning have been releasing chapters as part of their early access program, and at the time of writing six chapters have been made available for do
HBaseã®ã‚¢ãƒ¼ã‚テクãƒãƒ£ã‚’ç†è§£ã—よã†
CodeZine編集部ã§ã¯ã€ç¾å ´ã§æ´»èºã™ã‚‹ãƒ‡ãƒ™ãƒãƒƒãƒ‘ーをスターã«ã™ã‚‹ãŸã‚ã®ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã€ŒDevelopers Summitã€ã‚„ã€ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ç”Ÿãã–ã¾ã‚’ブーストã™ã‚‹ãŸã‚ã®ã‚¤ãƒ™ãƒ³ãƒˆã€ŒDevelopers Boostã€ãªã©ã€ã•ã¾ã–ã¾ãªã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã‚’ä¼ç”»ãƒ»é‹å–¶ã—ã¦ã„ã¾ã™ã€‚
LINEã®1億ユーザを支ãˆã‚‹HBaseã®ãƒã‚«ãƒ©â”€Hadoop Conference Japan 2013 Winterレãƒãƒ¼ãƒˆï¼ˆ2） | gihyo.jp
LINEã®1億ユーザを支ãˆã‚‹HBaseã®ãƒã‚«ãƒ©â”€Hadoop Conference Japan 2013 Winterレãƒãƒ¼ãƒˆï¼ˆ2） 1月21æ—¥ã«é–‹å‚¬ã•ã‚ŒãŸã€ŒHadoop Conference Japan 2013 Winterã€ã®åŸºèª¿è¬›æ¼”ã§ã¯ã€å…ˆæ—¥ã€ã¤ã„ã«1億ユーザをé”æˆã—ãŸãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ãƒ³ã‚°ã‚µãƒ¼ãƒ“ス「LINEã€ã§åˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹HBaseã®å®Ÿæ…‹ã«ã¤ã„ã¦ã€NHN Japanã§LINEã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’担当ã™ã‚‹ä¸æ‘俊介æ°ãŒç´¹ä»‹ã‚’è¡Œã„ã¾ã—ãŸã€‚本稿ã§ã¯ãã®æ¦‚è¦ã‚’レãƒãƒ¼ãƒˆã—ã¾ã™ã€‚ NHN Japan ä¸æ‘ ä¿Šä»‹æ° æœ€ã‚‚é‡è¦è¦–ã™ã‚‹ã®ã¯ã€Œã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã®é«˜å¯ç”¨æ€§ã€ã€HBaseã¯ãã®ãŸã‚ã«ã‚ã‚‹ Facebookã‚„Twitterを抜ãスピードã§æ€¥æˆé•·ã‚’é‚ã’ã‚‹LINE。1月18æ—¥ã«ã¯ã‚µãƒ¼ãƒ“スæ供開始ã‹ã‚‰ã‚ãšã‹19ヵ月ã§1億ユーザをé”æˆã—ã€å¤§ããªè©±é¡Œã¨ãªã‚Šã¾ã—ãŸã€‚ 急æˆé•·ä¸ã®ã‚µãƒ¼ãƒ“スをæä¾›ã™ã‚‹ãŸã‚ã«ã€ãã®è£å´ã§å‹•ãストレ
livedoor Techブãƒã‚° : 第2回 NHNテクノãƒã‚¸ãƒ¼ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ 開催ãƒã‚°
æ ªå¼ä¼šç¤¾ãƒ‡ãƒ¼ã‚¿ãƒ›ãƒ†ãƒ«ã®ä¼Šå‹¢ã§ã™ã€‚ 2012å¹´8月18日（土）ã«é–‹å‚¬ã•ã‚Œã¾ã—㟠第2回 NHN テクノãƒã‚¸ãƒ¼ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ ã®ç™ºè¡¨è³‡æ–™ã¨å‹•ç”»ã‚’公開致ã—ã¾ã™ã€‚ ã”ç™»å£‡é ‚ãã¾ã—ãŸçš†æ§˜ã€ã”å‚åŠ é ‚ãã¾ã—ãŸçš†æ§˜ã€ã©ã†ã‚‚ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã—ãŸã€‚ ã¾ãŸã€ä»Šå›žã€ŒHã€ãªæŠ€è¡“ã¨è¨€ã†äº‹ã§ã€ã‚ªãƒ©ã‚¤ãƒªãƒ¼ãƒ»ã‚¸ãƒ£ãƒ‘ン様より「HBaseã€ã®æ›¸ç±ã‚’ãƒ—ãƒ¬ã‚¼ãƒ³ãƒˆé ‚ãã¾ã—ãŸã€‚アレンジã—ã¦ã„ãŸã ã„ãŸç¿»è¨³è€…ã®çŽ‰å·ã•ã‚“ã€ã‚ªãƒ©ã‚¤ãƒªãƒ¼ãƒ»ã‚¸ãƒ£ãƒ‘ン様ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ 「Hã€æœ¬å½“ãŸã£ãŸçš†æ§˜ã€ãŠã‚ã§ã¨ã†ã”ã–ã„ã¾ã—ãŸã€‚ ãã‚Œã§ã¯ã€ä»¥ä¸‹ 第2回テクノãƒã‚¸ãƒ¼ã‚«ãƒ³ãƒ•ã‚¡ãƒ¬ãƒ³ã‚¹ã®é–‹å‚¬ãƒã‚°ã¨ãªã‚Šã¾ã™ã€‚ ※ 登壇者ã®çš†æ§˜ã¨ã€‚å·¦ã‹ã‚‰ ç”°ç± æ°ã€äº•ä¸Šæ°ã€ä¸æ‘æ°ã€æ¿±é‡Žæ°ã€æ²ˆ æ°ã€ä¼Šå‹¢ã§ã™ã€‚ 「HTML5 Animation in Mobile Web Gamesã€(沈 相旻 æ° NHN Korea〠Mobile Ajax ãƒãƒ¼ãƒ ) 「日々進化ã™ã‚‹Hadoopã®ã€Žä»Š
HBase at LINE
1. HBase at LINE ~ How to grow our storage together with service ~ ä¸æ‘ 俊介, Shunsuke Nakamura (LINE, twitter, facebook: sunsuk7tp) NHN Japan Corp. 2. 自己紹介 ä¸æ‘ 俊介 • 2011.10 æ—§ Japanæ–°å’入社 (2012.1ã‹ã‚‰ Japan) • LINE server engineer, storage team • Master of Science@æ±å·¥å¤§é¦–è—¤ç ” • Distributed Processing, Cloud Storage, and NoSQL • MyCassandra [CASSANDRA-2995]: A modular NoSQL with Pluggable Storage Engine based on
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PyFes 2012.07 ã§ç™ºè¡¨ã—ãŸã¨ãã®ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ HBaseã®ã‚¢ãƒ¼ã‚テクãƒãƒ£å‘¨ã‚Šã‚’ä¸å¿ƒã«è©±ã—ã¾ã—ãŸRead less
Configuring HBase Memstore: What You Should Know - Sematext
In this post we discuss what HBase users should know about one of the internal parts of HBase: the Memstore. Understanding underlying processes related to Memstore will help to configure HBase cluster towards better performance. HBase MemstoreLet’s take a look at the write and read paths in HBase to understand what Memstore is, where how and why it is used. Memstore Usage in HBase Read/Write Paths
LINE Storage: Storing billions of rows in Sharded-Redis and HBase per Month « NAVER Engineers' Blog
Hi, I’m Shunsuke Nakamura (@sunsuk7tp). Just half a year ago, I completed the Computer Science Master’s program in Tokyo Tech and joined to NHN Japan as a member of LINE server team. My ambition is to hack distributed processing and storage systems and develop the next generation’s architecture. In the LINE server team, I’m in charge of development and operation of the advanced storage system whi
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create 'sample', 'data' ('a'..'z').each {|i| put 'sample', i, 'data:alpha', i} scan 'samples' ROW COLUMN+CELL a column=data:alpha, timestamp=1333387516755, value=a b column=data:alpha, timestamp=1333387516772, value=b ... 手ã”ã‚ãªfixture作æˆã«ã¯ã‚ˆã„ãŒã€ã“ã‚Œã§1億件やる気ã¯ã—ãªã„ b) importtsv ã®ä½¿ã„æ–¹ æ—¢å˜ã®ã‚¤ãƒ³ãƒãƒ¼ãƒˆãƒ„ールを利用ã™ã‚‹æ–¹æ³•ã€‚ 入力データã¯tsv,csvã«é™å®šã•ã‚Œã‚‹ãŒã€hbase.jarã«å«ã¾ã‚Œã‚‹ImportTsvãŒç›®çš„ã«åˆè‡´ã™ã‚‹ã€‚ 実行ã«ã¯hbase.jarファイルã®ãƒ•ãƒ«ãƒ‘スãŒå¿…è¦ãªã®ã§ã€ã¾ãšã¯jarã‚’locateãªã©ã§æŽ¢ã™ã€‚ % lo
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Home · GeoMesa
On Hadoop RDBMS. Interview with Monte Zweben. | ODBMS Industry Watch
Cloudera | ãƒã‚¤ãƒ–リッドデータカンパニー
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