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DBRE(Database Reliability Engineering) ã®æ´»å‹• ã€œ ãƒ†ãƒ¼ãƒ–ãƒ«ãƒªãƒ•ã‚¡ã‚¯ã‚¿ãƒªãƒ³ã‚°ç·¨ ã€œ
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tune 2019/05/09
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database
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Data Models
Data Models: A Comprehensive Guide to Structuring Information for Optimal Insights and Decision-Making In the realm of data management, the use of effective data models plays a pivotal role in organizing and representing information in a structured and meaningful way. Data models serve as the blueprint for databases, facilitating efficient data storage, retrieval, and analysis. This article delves
tune 2017/12/29
database
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tune 2017/06/01
time-series

database
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tune 2015/08/13
database

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tune 2015/04/08
MySQL

database

ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹

DB
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DataGrip: The Cross-Platform IDE for Databases & SQL by JetBrains
A powerful IDE from JetBrains for SQL on macOS, Windows, and Linux.
tune 2015/03/29
database

ide

JetBrains
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MySQLã®my.cnfãƒ•ã‚¡ã‚¤ãƒ«ã‚µãƒ³ãƒ—ãƒ«
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tune 2015/01/21
mysql

database
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xRef - Database
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tune 2015/01/02
mysql

database

sql

DB

postgresql

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http://kwatch.houkagoteatime.net/blog/2014/12/20/postgresql-features/
tune 2014/12/22
postgresql

database
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MySQL 4.0ã§9å¹´å‹•ãç¶šã‘ãŸã‚µãƒ¼ãƒã‚’ ãƒªãƒ—ãƒ¬ã‚¤ã‚¹ã—ã¦ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã‚¢ãƒƒãƒ—ã—ãŸè©±
MySQL Casual Talks vol.7 http://mysql-casual.connpass.com/event/9767/Read less
tune 2014/12/13
mysql

database

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http://blog.inouetakuya.info/entry/2013/11/10/201040
tune 2014/11/19
rspec

database

database_cleaner
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tune 2014/10/22
sql

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database
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MySQLã‚µãƒ¼ãƒã‚’å¸‚è²©ã•ã‚Œã¦ã„ã‚‹ä¹—ç”¨è»Šã ã¨ã™ã‚‹ã¨ã€MySQL Clusterã¯æ•´å‚™ã•ã‚ŒãŸã‚µãƒ¼ã‚ãƒƒãƒˆã§ã®é«˜é€Ÿèµ°è¡Œã«æœ€é©åŒ–ã•ã‚ŒãŸãƒ•ã‚©ãƒ¼ãƒŸãƒ¥ãƒ©ã‚«ãƒ¼ãªæ„Ÿã˜ã§ã€WebScaleSQLã¯å¸‚è²©è»Šã‚’ãƒ™ãƒ¼ã‚¹ã«ã—ã¦ã€ç‰¹æ®Šãªèµ°è¡Œç’°å¢ƒã«æœ€é©åŒ–ã•ã‚ŒãŸãƒ©ãƒªãƒ¼ã‚«ãƒ¼ãªã‚¤ãƒ¡ãƒ¼ã‚¸ã‹ï¼Ÿ photo by djkennyc; CC-SA 3.0, from deviantart.com ãƒ•ã‚©ãƒ¼ãƒŸãƒ¥ãƒ©ã‚«ãƒ¼ã®é™ç•Œæ€§èƒ½ã‚’å¼•ãå‡ºã™ãŸã‚ã«ã¯ç‰¹æ®Šãªé‹è»¢ãƒ†ã‚¯ãƒ‹ãƒƒã‚¯ã®ã¿ãªã‚‰ãšã€å°‚é–€ã‚¹ã‚¿ãƒƒãƒ•ã«ã‚ˆã‚‹ãƒ¡ãƒ³ãƒ†ãƒŠãƒ³ã‚¹ãŒå¿…é ˆã€‚ã‚¨ãƒ³ã‚¸ãƒ³ã‚„ä»•æ§˜ã¯å¸‚è²©è»Šã¨ã¯å¤§å¹…ã«ç•°ãªã‚Šã€ä¸€äººã—ã‹ä¹—ã‚Œãªã‹ã£ãŸã‚Šè·ç‰©ã‚’æè¼‰ã§ããªã„ä¸Šã€ä¸€èˆ¬é“ã§ã®èµ°è¡ŒãŒå®Ÿè³ªçš„ã«ä¸å¯ãªã©åˆ¶é™äº‹é …ãŒå¤šã„ãŒã€åœ§å€’çš„ã«é«˜é€Ÿã€‚ãƒ•ã‚©ãƒ¼ãƒŸãƒ¥ãƒ©ã‚«ãƒ¼ã§ã®è“„ç©ã•ã‚ŒãŸæŠ€è¡“ãŒå¸‚è²©è»Šã«åæ˜ ã•ã‚ŒãŸã‚Šã€é€†ã«å¸‚è²©è»Šã§ã®ãƒ‹ãƒ¼ã‚ºã‚’ã‚‚ã¨ã«ãƒ•ã‚©ãƒ¼ãƒŸãƒ¥ãƒ©ã‚«ãƒ¼ã®ä»•æ§˜ãŒæ±ºã‚ã‚‰ã‚Œã‚‹ã“ã¨ã‚‚ã€‚ photo by kallerna; CC-SA 3.0,
tune 2014/03/28
mysql

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tune 2014/02/08
database
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Vedis - An Embeddable Datastore Engine
Vedis is an embeddable datastore C library built with over 70 commands similar in concept to Redis but without the networking layer since Vedis run in the same process of the host application. Unlike most other datastores (i.e. memcache, Redis), Vedis does not have a separate server process. Vedis reads and writes directly to ordinary disk files. A complete database with multiple collections, is c
tune 2013/11/16
database

library

vedis

redis
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tune 2013/11/16
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Sequel READMEã®æ—¥æœ¬èªžè¨³ã¨ã„ã†ã‹ã¿ã˜ã‚“ã“è¨³ - å²¡å±±çœŒåŒ—ã§ãŒã‚“ã°ã‚‹ãƒ•ãƒªãƒ¼ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ãƒ¡ãƒ¢
ruby, sequelâ€»ã“ã‚Œã¯ Sequel 2.X ã®ã‚‚ã®ã§ã™ã€‚æœ€æ–°ã®Sequelã§ã¯ä¸€éƒ¨æ©Ÿèƒ½ãŒãƒ—ãƒ©ã‚°ã‚¤ãƒ³ã«åˆ‡ã‚Šå‡ºã•ã‚Œã¦ã„ã‚‹ãªã©ã€éžäº’æ›ã®éƒ¨åˆ†ãŒã‚ã‚Šã¾ã™ã€‚ã”æ³¨æ„ä¸‹ã•ã„ã€‚ Sequelã‚’ä½¿ã£ã¦ã¿ã‚ˆã†ã‹ã¨æ€ã„ã¾ã—ãŸã€‚ ã§ã‚‚ã€æ—¥æœ¬èªžã®ã¾ã¨ã¾ã£ãŸæƒ…å ±ãŒè¦‹ã¤ã‹ã‚‰ãªã„ã‚ˆ(Â´ãƒ»Ï‰ãƒ»ï½€) ä»•æ–¹ãªã„ã®ã§å…¬å¼ã‚’èªã‚€ã“ã¨ã«ã€‚ è‹±èªžãŒè¶…è‹¦æ‰‹ï¼ˆä¸å¦è‹±èªžã§ã™ã§ã«ã‚ã‹ã‚Šã¾ã›ã‚“ã€‚ï¼‰ãªã®ã§ã€ã“ã‚“ãªæ„Ÿã˜ã‹ãªï¼Ÿã¨ã„ã†é©å½“è¨³ã€‚å‚è€ƒã«ã¯ãªã‚‰ãªã„ã¨æ€ã†ã€‚ å°‘ã—ãšã¤é€²ã‚ã¦ã„ã£ã¦ã¾ã™ã€‚ã¾ã åŠåˆ†ä»¥ä¸Šæ®‹ã£ã¦ã¾ã™ã€‚2008.12.1 ã‚ˆã†ã‚„ãã§ãã¾ã—ãŸã€‚ é–¢é€£ï¼š Sequelã§Migration http://sequel.rubyforge.org/rdoc/files/README.html Sequelï¼ˆã—ãƒ¼ãã†ã‡ã‚‹ï¼‰ã¨ã¯Rubyã®ãŸã‚ã®ã€è»½é‡ãªãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ã‚¢ã‚¯ã‚»ã‚¹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€‚ã‚¹ãƒ¬ãƒƒãƒ‰ã‚»ãƒ¼ãƒ•ã‚³ãƒã‚¯ã‚·ãƒ§ãƒ³ãƒ—ãƒ¼ãƒªãƒ³ã‚°ã‚¯ã‚¨ãƒªã¨ã‚¹ã‚ãƒ¼ãƒ ã®ãŸ
tune 2013/08/09
ruby

sequel

orm

database
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Home - MarkMail - Community libraries
MarkMail is developed and hosted by MarkLogic Corporation. MarkMail is a free service for searching mailing list archives, with huge advantages over traditional search engines. It is powered by MarkLogic's Enterprise NoSQL Database. Each em ail is stored internally as a document in the database. All searches, faceted navigation, analytic calculations, and HTML page renderings are performed by a sma
tune 2008/01/14
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Scene Completion Using Millions of Photographs
People James Hays Alexei Efros Abstract What can you do with a million images? In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm patches up holes in images by finding similar image regions in the database that are not only seamless but also semantically valid. Our chief insight is that while the space of images
tune 2007/11/04
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tune 2007/10/05
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