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tomotaka-ito id:tomotaka-ito

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Apache HBase å…¥é–€ (ç¬¬ï¼“å›žï¼‰
Apache HBase å…¥é–€ (ç¬¬ï¼“å›žï¼‰ Big Data ã®ãŸã‚ã® Hadoop ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ by Tatsuya Kawano <http://twitter.com/tatsuya6502> Hadoop ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ãƒªãƒ¼ãƒ‡ã‚£ãƒ³ã‚° æ±äº¬, #4, 2010å¹´8æœˆ17æ—¥ 2010å¹´8æœˆ17æ—¥ç«æ›œæ—¥ [ ]è‡ªå·±ç´¹ä»‹ Twitter: @tatsuya6502 è¨¼åˆ¸ä¼šç¤¾ã® ã‚°ãƒãƒ¼ãƒãƒ« ITéƒ¨é–€ã«å‹¤å‹™ ã‚·ãƒ‹ã‚¢ Java / Scala ãƒ‡ãƒ™ãƒãƒƒãƒ‘ãƒ¼ å€‹äººç ”ç©¶ã¨ã—ã¦ã€2009å¹´ç§‹ã‹ã‚‰ HBase ã‚’è©•ä¾¡ä¸ ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ãƒ‡ã‚¶ã‚¤ãƒŠãƒ¼ã§ã‚‚ã‚ã‚‹ ãƒ‹ãƒ¥ãƒ¼ãƒ¨ãƒ¼ã‚¯ã®ç¾Žå¤§ Pratt Institute ã‚’å’æ¥ã— æ•°å¹´é–“ã€ç¾åœ°ã‚¢ãƒ¡ãƒªã‚«ä¼æ¥ã«å‹¤å‹™ HBase ã‚¨ãƒãƒ³ã‚¸ã‚§ãƒªã‚¹ãƒˆï¼ 2010å¹´8æœˆ17æ—¥ç«æ›œæ—¥ [ ]å†…å®¹ HBase ã¨ Cassandra Ì¶ ãƒˆãƒ¬ãƒ¼ãƒ‰ã‚ªãƒ•ã‚’ç†è§£ã™ã‚‹ï¼ˆç¶šãï¼‰ Map Redu
tomotaka-ito 2011/07/06
HBase

NoSQL
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Apache HBase å…¥é–€ (ç¬¬ï¼’å›ž)
This document appears to be test results from running the Yahoo! Cloud Serving Benchmark on a system. It includes performance metrics like request latency distributions and throughput for different request sizes and concurrency levels. Various graphs and tables are presented showing results from multiple benchmark runs. The benchmark was run to test the performance of the system for serving reques
tomotaka-ito 2011/07/06
HBase

NoSQL
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Apache HBase å…¥é–€ (ç¬¬ï¼‘å›ž)
The document discusses big data and Hadoop concepts. It covers Hadoop operations like put, get, scan, filter, delete as well as join and group by. It also discusses the different types of data access patterns like random write, sequential read, sequential write and random read. The document focuses on big data, Hadoop operations, and data access patterns.Read less
tomotaka-ito 2011/07/06
HBase

NoSQL
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Tokyo HBase Meetup - Realtime Big Data at Facebook with Hadoop and HBase (ja)
The document discusses Facebook's use of HBase to store messaging data. It provides an overview of HBase, including its data model, performance characteristics, and how it was a good fit for Facebook's needs due to its ability to handle large volumes of data, high write throughput, and efficient random access. It also describes some enhancements Facebook made to HBase to improve availability, stab
tomotaka-ito 2011/07/06
HBase

NoSQL

Facebook
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Facebookã®æ–°ã—ã„ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ è§£æžã‚·ã‚¹ãƒ†ãƒ ã¨ã¯ï¼Ÿ - nokunoã®æ—¥è¨˜
Facebookã®æ–°ã—ã„ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ è§£æžã®ã‚·ã‚¹ãƒ†ãƒ ã§ã¯ã€HBaseã§1æ—¥200å„„ä»¶ã®ã‚¤ãƒ™ãƒ³ãƒˆã‚’å‡¦ç†ã—ã¦ã„ã‚‹ãã†ã§ã™ã€‚ä»¥ä¸‹ã®è¨˜äº‹ã®ç¿»è¨³ã§ã™ã€‚High Scalability - High Scalability - Facebookâ€™s New Realtime Analytics System: HBase to Process 20 Billion Events PerÂ DayFacebookãŒã¾ãŸã‚„ã£ã¦ãã‚ŒãŸã€‚å½¼ã‚‰ã¯å·¨å¤§ãªãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ãƒ‡ãƒ¼ã‚¿ã®ã‚¹ãƒˆãƒªãƒ¼ãƒ ã‚’å‡¦ç†ã™ã‚‹ã‚‚ã†1ã¤ã®ã‚·ã‚¹ãƒ†ãƒ ã‚’æ§‹ç¯‰ã—ãŸã®ã ã€‚ä»¥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
tomotaka-ito 2011/04/02
Facebook

HBase
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