InfoQ Homepage NoSQL Content on InfoQ
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NoSQL: Past, Present, Future
Eric Brewer takes a look at NoSQL’s history and considers what should be done so the current NoSQL solutions to evolve in order to address the full range of the application needs.
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Rewriting GitHub Pages with Riak and Webmachine
Jesse Newland discusses how GitHub pages were re-written with Erlang, Riak and Webmachine in order to improve their performance.
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Petabyte Scale Data at Facebook
Dhruba Borthakur discusses the different types of data used by Facebook and how they are stored, including graph data, semi-OLTP data, immutable data for pictures, and Hadoop/Hive for analytics.
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Real World Redis
David Czarnecki discusses several Redis data structures and their associated libraries used in real cases for building leaderboards, relationships and activity feeds.
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Eventually-Consistent Data Structures
Sean Cribbs discusses Convergent Replicated Data Types, data structures that tolerate eventual consistency.
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Embracing Concurrency at Scale
Justin Sheehy discusses designing reliable distributed systems that can scale in order to deal with concurrency problems and the tradeoffs required by such systems.
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Building Cloud Services with Riak
Andy Gross reports on how Basho used Riak and Erlang to build their cloud storage service.
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Not Your Father’s Transaction Processing
Michael Stonebraker compares how RDBMS, NoSQL and NewSQL support today’s big data transaction processing needs. He also introduces VoltDB, an in-memory NewSQL database.
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Spring Data - NoSQL - No Problems...
Peter Bell introduces 4 NoSQL categories –Key-Value, Document, Column, Graph - and explains how one can use Spring Data to work with such data stores.
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MongoDB - Born in the Cloud
Ross Lawley introduces MongoDB, explaining why it is a good solution for cloud deployment.
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Sweden's Next Top Data Model
Ian Plosker explains why a data model needs to follow the query patterns when using a NoSQL storage solution.
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The Impedance Mismatch is Our Fault
Stuart Dabbs Halloway explains what the impedance mismatch is and what can be done to solve it in the context of RDBMS, OOP, and NoSQL.
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