NoSQL Data Modeling
Data modeling for RDBMS has been a well-defined discipline for many years. Techniques like logical to physical mapping and normalization / de-normalization have been widely practiced by professionals, including novice users. However, with the recent emergence of NoSQL databases, data modeling is facing new challenges to its relevance. Generally speaking, NoSQL practitioners focus on physical data
RethinkDB: web developer firstã§ã¤ãられãŸNoSQL DB - ワザノム| wazanova
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Schemaless Data Structures
In recent years, there's been an increasing amount of talk about the advantages of schemaless data. Being schemaless is one of the main reasons for interest in NoSQL databases. But there are many subtleties involved in schemalessness, both with respect to databases and in-memory data structures. These subtleties are present both in the meaning of schemaless and in the advantages and disadvantages
Memory Usage in Couchbase 2.0
The following fragment from Shawn Chiao’s post about what he sees as drawbacks in using Couchbase as the backend for free-to-play games made me really curious about the memory requirements in Couchbase 2.0: The Couchbase cluster need to keep the metadata of every single key in memory, even if those values are not in the working set. According to the Couchbase 2.0 manual (pdf) page 59: The goal is
NoSQLã®ç¾çŠ¶ã€‚ã“ã‚Œã¾ã§ã®æˆåŠŸã¨å¤±æ•—
NoSQLã®ç™»å ´ã¯ã€ã€Œãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã¨ã„ãˆã°ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã€ã¨ã„ã†çŠ¶æ³ã‚’大ãã変ãˆã¾ã—ãŸã€‚リレーショナルデータベースã¨æ¯”ã¹ã¦é«˜é€Ÿã§ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティã«å„ªã‚ŒãŸNoSQLデータベースã¯ç™»å ´å½“åˆã‹ã‚‰æ³¨ç›®ã•ã‚Œã¾ã—ãŸãŒã€ä¸€æ–¹ã§ã„ã¾ã«è‡³ã‚‹ã¾ã§ã•ã¾ã–ã¾ãªç¨®é¡žã®è£½å“ãŒç™»å ´ã—ã¦æ··æ²Œã¨ã—ã¦ã„るよã†ã«ã‚‚見ãˆã¾ã™ã€‚ （作者 Stefan Edlichã€ç¿»è¨³è€… 大田 ç·‘ - (æ ª)ãƒã‚§ãƒ³ã‚¸ãƒ“ジョンã€æŠ•ç¨¿æ—¥ 2013å¹´1月1日） NoSQLã¯åŽ³ã—ã„批判ã«å°‘ãªãã¨ã‚‚4å¹´é–“ã•ã‚‰ã•ã‚Œã¦ãã¾ã—ãŸã€‚ãã—ã¦ã€ä»Šã€NoSQLã®ç¾çŠ¶ã«ã¤ã„ã¦ä¸é–“å ±å‘Šã™ã‚‹æ™‚ãŒã‚„ã£ã¦æ¥ã¾ã—ãŸã€‚NoSQLã®å‘¨è¾ºã§ã¯ã„ã‚ã„ã‚ãªã“ã¨ãŒèµ·ã“ã£ãŸãŸã‚ã€å…¨ä½“åƒã‚’ã¤ã‹ã‚“ã§ã€ã©ã®ã‚ˆã†ãªç›®çš„ã‚’é”æˆã—ãŸã‹ã€ã¾ãŸã€NoSQLã¯ã©ã“ã§å¤±æ•—ã—ãŸã‹ã‚’評価ã™ã‚‹ã®ã¯ç°¡å˜ãªã“ã¨ã§ã¯ã‚ã‚Šã¾ã›ã‚“。 様々ãªåˆ†é‡Žã«ãŠã„ã¦ã€NoSQLã¯ç”£æ¥çš„ã«ã‚‚å¦å•çš„ã«ã‚‚ã‹ãªã‚ŠæˆåŠŸã‚’ãŠã•ã‚ã¦ãã¾ã—ãŸã€‚大å¦
451 CAOS Theory » CouchDB – sink or swim?
CouchDB – sink or swim? Matthew Aslett, December 17, 2012 @ 12:31 pm ET CouchDB – up a creek without a paddle? Image source: bobbyfeind on Flickr Almost a year ago Apache CouchDB creator Damien Katz announced that he would no longer be contributing to the CouchDB document database project he had created, choosing instead to focus on the development of Couchbase Server 2.0, which united CouchDB wit
MongoDBã¨RavenDBã®é•ã„ã‹ã‚‰èªã¿è§£ãã€ãƒ‰ã‚ュメント・データベースã”ã¨ã®è¨è¨ˆæ€æƒ³
MongoDBã¨RavenDBã®é•ã„ã‹ã‚‰èªã¿è§£ãã€ãƒ‰ã‚ュメント・データベースã”ã¨ã®è¨è¨ˆæ€æƒ³ï¼šç‰¹é›†ï¼šMongoDBã§ç†è§£ã™ã‚‹ã€Œãƒ‰ã‚ュメント・データベースã€ã®ä¸–界（後編） å‰å›žã®å‰ç·¨ã§ã¯ã€MongoDBを例ã«ãƒ‰ã‚ュメント・データベース（Document Database）ã®åŸºæœ¬çš„ãªæ©Ÿèƒ½ã‚’見ã¦ããŸãŒã€ã„ãã¤ã‹MongoDB独自ã®è€ƒãˆæ–¹ã‚„特徴もå«ã¾ã‚Œã¦ã„ãŸã€‚今回ã®å¾Œç·¨ã§ã¯ã€MongoDB以外ã®ãƒ‰ã‚ュメント・データベースã¨ã—ã¦ã€ŒRavenDBã€ï¼ˆã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã‚„基本的ãªä½¿ã„æ–¹ã«ã¤ã„ã¦ã¯ã“ã¡ã‚‰ã‚’å‚照）を見ã¦ã„ãã“ã¨ã§ã€åŒã˜ãƒ‰ã‚ュメント・データベースåŒå£«ã§ã®ç›¸é•ã‚’ç°¡å˜ã«ç¢ºèªã—ãŸã„。 ã„ãã¤ã‹ã®ãƒ‰ã‚ュメント・データベースを見ã¦ã„ãã“ã¨ã§ã€åŒã˜ã€Œãƒ‰ã‚ュメント・データベースã€ã¨ã„ã†å…±é€šã®æ¦‚念ã§ã¯ã‚ã‚‹ãŒã€ãã‚Œãžã‚ŒãŒã©ã®ã‚ˆã†ãªä½ç½®ä»˜ã‘ã§ã‚ã‚‹ã‹ã€ãã®ç›¸é•ã‚’発見ã§ãã‚‹ã ã‚ã†ï¼ˆãªãŠã€ã“ã“ã§ã¯ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã”ã¨ã®æ©Ÿèƒ½æ¯”較表を
イãƒãƒ¼ãƒ–ラ型NoSQLã®ã¾ã¨ã‚（Memcachedã€Redisã€Scalarisã€Tokyo Cabinet/Tyrant編）
åº ç« ãƒ“ãƒƒã‚°ãƒ‡ãƒ¼ã‚¿ã®æ™‚代 第1ç« NOSQLã¨ã¯ä½•ã‹? 第2ç« NOSQLã®ãƒ‡ãƒ¼ã‚¿ãƒ¢ãƒ‡ãƒ« 第3ç« ã‚¢ãƒ¼ã‚テクãƒãƒ£ã®åŸºæœ¬æ¦‚念ã¨æŠ€è¡“ 第4ç« Hadoopã¯NOSQL? 第5ç« ä¸»ãªNOSQLãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹è£½å“ ç¬¬6ç« NOSQLデータベースã®é¸æŠžåŸºæº– 第7ç« NOSQLを使ã†ãƒ“ジãƒã‚¹ 本連載ã¯æ›¸ç±ã€ŽNOSQLã®åŸºç¤ŽçŸ¥è˜ã€ï¼ˆãƒªãƒƒã‚¯ãƒ†ãƒ¬ã‚³ãƒ 刊ã€ISBN：978-4897978871）ã§è§£èª¬ã•ã‚Œã¦ã„る内容ã‹ã‚‰ä¸€éƒ¨ã‚’抜粋ã—ã€æœ¬é€£è¼‰å‘ã‘ã«ä¸€éƒ¨å†ç·¨é›†ã—ã¦æŽ²è¼‰ã—ãŸã‚‚ã®ã§ã™ã€‚ 書ç±ã§ã¯ã€ä¸€èˆ¬ã«NoSQLã¨å‘¼ã°ã‚Œã¦ã„ã‚‹å„種データベース技術ã«ã¤ã„ã¦ã€åŸºæœ¬æ¦‚念ã‹ã‚‰ä¸»è¦ãªãƒ—ãƒãƒ€ã‚¯ãƒˆã®ç‰¹æ€§ã€ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯çµæžœã¾ã§ã‚’紹介ã—ã¦ã„ã¾ã™ã€‚データモデルやアーã‚テクãƒãƒ£ã®é•ã„ã¨ã„ã£ãŸåŸºæœ¬æ¦‚念ã‹ã‚‰ã€å„プãƒãƒ€ã‚¯ãƒˆã®ç‰¹å¾´ã‚’ç†è§£ã§ãる内容ã«ãªã£ã¦ã„ã¾ã™ã€‚ 本連載ã§ã¯ã€ã“ã®æ›¸ç±ã®å†…容ã‹ã‚‰ã€ä¸»è¦ãƒ—ãƒãƒ€ã‚¯ãƒˆã‚’紹介ã—ã¦ã„る第5ç« ã‚’æŠœç²‹ã—ã€ãã®ã‚¨ãƒƒ
A vendor-independent comparison of NoSQL databases: Cassandra, HBase, MongoDB, Riak
A vendor-independent comparison of NoSQL databases: Cassandra, HBase, MongoDB, Riak By Sergey Bushik, senior R&D engineer at Altoros Systems Inc., special to Network World October 22, 2012 04:26 PM ET "The more alternatives, the more difficult the choice." -- Abbe' D'Allanival In 2010, when the world became enchanted by the capabilities of cloud systems and new databases designed to serve them, a
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
ç§ãŒCouchDBを使ã‚ãªã„ç†ç”± | taro-nishinoã®æ—¥è¨˜ | スラド
ç§ã¯å®¶ã§ã¯MongoDBを使用ã—ã¦ã„ã¾ã™ã€‚ã§ã¯ã€ä½•æ•…RDBMS（種類ã¯ä½•ã§ã‚‚ã„ã„ã§ã™ãŒï¼‰ã§ãªã„ã‹ã¨è¨€ã„ã¾ã™ã¨ã€å®¶ã®å¤–ã¸ä¸€æ©ã§ã‚‚出れã°ã€ã‚„ã‚ŒORMãŒã©ã†ã®ã“ã†ã®ã€ã‚¹ã‚ーマãŒã©ã†ã®ã“ã†ã®ã€SQLãŒã©ã†ã®ã“ã†ã®ã€ã¨æ—¥å¤œå›²ã¾ã‚Œã¦ã„ã‚‹ã®ã«ã€ãã‚“ãªã‚‚ん家ã«å…¥ã‚ŒãŸããªã„ã§ã—ょã†ï¼Ÿ MongoDBã¯ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–シェルã¨ã—ã¦javascriptシェルをæŒã£ã¦ã„ã‚‹ã®ã§ã€JSONã§ãƒ‡ãƒ¼ã‚¿ã‚’æ ¼ç´å‡ºæ¥ã¾ã™ã—ã€ä»Šã‚„ã‚„ã£ã¨Perlドライãƒã§ã‚ã‚‹MnogoDB（元々ã¯ã€ã”å˜çŸ¥Florian Ragwitzæ°ãŒæ‰‹æŽ›ã‘られã€ä»Šã®ãƒ¡ãƒ³ãƒ†ãƒŠã¯Kristina Chodorow女å²ã§ã™ï¼‰ãŒå®‰å®šã—ã¦æ¥ã¾ã—ãŸã®ã§ã€Devel::REPLを使用ã™ã‚Œã°ã€Perlã®ãƒãƒƒã‚·ãƒ¥ã®ã¾ã¾ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ãƒ†ã‚£ãƒ–ã«æ ¼ç´å‡ºæ¥ã¾ã™ã€‚ç§ã®å€‹äººçš„ãªè¨˜éŒ²ã¯ã™ã¹ã¦MongoDBã«æ”¾ã‚Šè¾¼ã‚“ã§ã„ã¾ã™ã€‚å“上メモ代ã‚ã‚Šã®ã‚ˆã†ãªã‚‚ã‚“ã§ã™ã€‚ ã“れを言ã†ã¨å¿…ãšã€Œã˜ã‚ƒã€CouchD
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NoSQLデータベースã®ã€ŒCassandraã€æœ€æ–°å‹•å‘。Cassandra Summit 2012（後編）
NoSQLデータベースã®ã€ŒCassandraã€æœ€æ–°å‹•å‘。Cassandra Summit 2012（後編） 代表的ãªNoSQLデータベースã®1ã¤ã€ŒApache Cassandraã€ã‚’テーマã«ã—ãŸã‚¤ãƒ™ãƒ³ãƒˆã€ŒCassandra Summit 2012ã€ãŒã€8月8æ—¥ã«ã‚µãƒ³ã‚¿ã‚¯ãƒ©ãƒ©ã§é–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚ （本記事ã¯ã€ŒNoSQLデータベースã®ã€ŒCassandraã€æœ€æ–°å‹•å‘。Cassandra Summit 2012（後編）ã€ã®ç¶šãã§ã™ï¼‰ 最新版Cassandra 1.1ã§è¿½åŠ ã•ã‚ŒãŸæ©Ÿèƒ½ã¨ã¯ Cassandraã¯ã©ã†é€²åŒ–ã—ã¦ããŸã‹ã€‚昨年1月ã®0.7ãŒæœ€åˆã®ãƒ¢ãƒ€ãƒ³ãªãƒãƒ¼ã‚¸ãƒ§ãƒ³ã ã£ãŸã¨ã„ã†ã®ãŒç§ã®è€ƒãˆã 。0.8ã§ã¯åˆ†æ•£ã‚«ã‚¦ãƒ³ã‚¿ãƒ¼ã‚’実装ã—ã€ã‚»ãƒ«ãƒ•ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°è¦ç´ ã‚’å¼·ã‚ãŸã€‚1.0ã¯ã€1.0を宣言ã—ãŸã“ã¨ã€ãã—ã¦åœ§ç¸®æ©Ÿèƒ½ã‚’å‚™ãˆã‚‹ãªã©ã®å‰é€²ãŒã‚ã£ãŸã€‚ ãã—ã¦ç¾åœ¨ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ãŒ4月ã«ãƒªãƒªãƒ¼ã‚¹ã—ãŸCassandra 1.
NoSQLデータベースã®ã€ŒCassandraã€æœ€æ–°å‹•å‘。Cassandra Summit 2012（å‰ç·¨ï¼‰
NoSQLデータベースã®ã€ŒCassandraã€æœ€æ–°å‹•å‘。Cassandra Summit 2012（å‰ç·¨ï¼‰ 代表的ãªNoSQLデータベースã®1ã¤ã€ŒApache Cassandraã€ã‚’テーマã«ã—ãŸã‚¤ãƒ™ãƒ³ãƒˆã€ŒCassandra Summit 2012ã€ãŒã€8月8æ—¥ã«ã‚µãƒ³ã‚¿ã‚¯ãƒ©ãƒ©ã§é–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚ Cassandraã¯ã€ã‚ーãƒãƒªãƒ¥ãƒ¼åž‹ãƒ‡ãƒ¼ã‚¿ã‚¹ãƒˆã‚¢ã¨ã—ã¦é«˜é€Ÿãªãƒ‡ãƒ¼ã‚¿ã®å…¥å‡ºåŠ›ã‚„高ã„スケーラビリティãŒç‰¹å¾´ã§ã™ã€‚最新ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã¯ãƒžãƒ«ãƒãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã€ãƒžãƒ«ãƒãƒ†ãƒŠãƒ³ã‚·ãƒ¼ãªã©é«˜åº¦ãªæ©Ÿèƒ½ã‚‚æ載ã—ã¾ã—ãŸã€‚ ãã†ã—ãŸæœ€æ–°æ©Ÿèƒ½ãªã©ãŒç´¹ä»‹ã•ã‚ŒãŸã€Cassandra Summit 2012ã§è¡Œã‚ã‚ŒãŸCassandraã®ä¸»è¦ãªé–‹ç™ºè€…Jonathan Ellisæ°ã®åŸºèª¿è¬›æ¼”「The State of Cassandra, 2012ã€ã®å†…容をダイジェストã§ç´¹ä»‹ã—ã¾ã™ã€‚ The State of Cassandra, 2012
MySQL Is Done. NoSQL Is Done. It's the Postgres Age
Jeff Dickey enumerates some of the new features available in PostgreSQL—schema-less data, array columns, queuing, full-text searching, geo-spatial indexing—concluding that PosgreSQL has now everything an application needs: Postgres has taken the features out of all of these tools and integrate it right inside the platform. Now you don’t need to spin up a mongo cluster for non-rel data, rabbitmq cl
NoSQLデータモデリング技法
NoSQLデータモデリング技法.markdown #NoSQLデータモデリング技法 原文：NoSQL Data Modeling Techniques « Highly Scalable Blog I translated this article for study. contact matope[dot]ono[gmail] if any problem. NoSQLデータベースã¯ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“リティã€ãƒ‘フォーマンスã€ä¸€è²«æ€§ã¨ã„ã£ãŸæ§˜ã€…ãªéžæ©Ÿèƒ½è¦ä»¶ã‹ã‚‰æ¯”較ã•ã‚Œã‚‹ã€‚NoSQLã®ã“ã®å´é¢ã¯å®Ÿè·µã¨ç†è«–ã®ä¸¡é¢ã‹ã‚‰ã‚ˆãç ”ç©¶ã•ã‚Œã¦ã„る。ã‚る種ã®éžæ©Ÿèƒ½ç‰¹æ€§ã¯NoSQLを利用ã™ã‚‹ä¸»ãªå‹•æ©Ÿã§ã‚ã‚Šã€NoSQLシステムã«ã‚ˆãé©ç”¨ã•ã‚Œã‚‹CAP定ç†ãŒãã†ã§ã‚るよã†ã«åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®åŸºæœ¬çš„原則ã ã‹ã‚‰ã 。一方ã§ã€NoSQLデータモデリングã¯ã‚ã¾ã‚Šç ”究ã•ã‚Œã¦ãŠã‚‰ãšã€ãƒªãƒ¬ãƒ¼ã‚·ãƒ§ãƒŠãƒ«ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã«è¦‹ã‚‰ã‚Œã‚‹ã‚ˆã†ãªã‚·ã‚¹ãƒ†ãƒžãƒ†ã‚£ãƒƒã‚¯
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