DynamoDB の基礎と設計 / DynamoDB Design PracticeQiitaにも記事があります https://qiita.com/_kensh/items/2351096e6c3bf431ff6f サーバーレスでよく利用される Amazon DynamoDBですが、設計方針はRDBMSと違うとよく言われます。 アクセスパターンに従った、DynamoDBならではの設計の仕方を一緒に学んでみませんか？
分散環境でユニークなidを発番するGo製プロダクト「katsubushi」のご紹介 - KAYAC engineers' blog
Wix Engineering
MySQL is a better NoSQL. When considering a NoSQL use case, such as key/value storage, MySQL makes more sense in terms of performance, ease of use, and stability. MySQL is a solid engine with lots of online material, ranging from operations and failure cases, to replication and different patterns of usage. For this reason, it has an advantage over newer NoSQL engines that are not as battle tested.
How to Compare NoSQL Databases: Aerospike, Cassandra, Couchbase, NoSQL
NoSQL before nosqlCAP not really too relevant. If you’re using a NoSQL database, you probably are running on a cluster with multiple partitions. And consistency – availability is not necessarily easy to interpret except in a formal theoretical way.Plus, it’s tunable. Plus, what does consistency even mean? Example, Cassandra partial writes. What is a secondary index more key-value lookupsit’s jus
『NewSQLのCockroachDBについて調べてみた』
elasticsearchでらくらく全文検索 - UNIX的なアレ
G-WAN > Web Application Server
G-WAN better uses CPU Cores to make the Internet of Things fly thousand times higher ! Leverage legacy servers and low-consumption CPUs to do more with less! With 1GHz in 2000 and 3GHz in 2002 10GHz CPUs were expected in 2005. Today, we should run much faster CPUs but: We're not going to have faster processors. Instead, making software run faster in the future will mean using parallel-programming
FriendFeedにおけるMySQLへの大規模データ格納 - masayang's diary
Fluentd | Open Source Data Collector
Fluentd is an open source data collector for unified logging layer. Fluentd allows you to unify data collection and consumption for a better use and understanding of data.
NoSQLデータモデリング技法
NoSQLデータモデリング技法
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Nosqlの基礎知識（2013年7月講義資料）
Design Patterns for Distributed Non-Relational Databases
A Node in Nodes
GitHub - google/leveldb: LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.