InfoQ Homepage Database Content on InfoQ
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NoSQL at Twitter
Ryan King presents how Twitter uses NoSQL technologies - Gizzard, Cassandra, Hadoop, Redis - to deal with increasing data amounts forcing them to scale out beyond what the traditional SQL has to offer
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Enterprise NoSQL: Silver Bullet or Poison Pill?
Billy Newport explains the fundamental differences between SQL and NoSQL, creating awareness that NoSQL is not suited for many cases, and people should make informed decisions before buying into it.
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NoSQL at Twitter
Kevin Weil presents how Twitter does data analysis using Scribe for logging, base analysis with Pig/Hadoop, and specialized data analysis with HBase, Cassandra, and FlockDB.
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Large Scale Map-Reduce Data Processing at Quantcast
Ron Bodkin presents the architecture used by Quantcast to process 100s of TB of data daily using Hadoop on dedicated systems, the applications, the type of data processed, and the infrastructure used.
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Yes, SQL!
Uri Cohen reviews SQL and distributed data stores, presenting how various API’s – memcached, SQL/JDBC, JPA - can be used to interact with such data stores, specifying what jobs they are best used for.
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LMAX - How to Do 100K TPS at Less than 1ms Latency
Martin Thompson and Michael Barker talk about building a HPC financial system handling over 100K tps at less than 1ms latency by having a new approach to infrastructure and software.
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High Performance Websites in the Cloud
Matt Wood presents the most important AWS services, explaining how to scale up and out, how to extend the basic stack, how to use storage, and how to manage MySQL databases running on EC2.
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HyperGraphDB - Data Management for Complex Systems
Borislav Iordanov presents the architecture of HyperGraphDB, a special type of store based on hypergraphs – graphs with edges pointing to an arbitrary number of nodes and to other edges.
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Abstractions at Scale–Our Experiences at Twitter
Marius Eriksen considers that leaky abstractions lead to scalability issues, while those providing narrow access to explicit resources - map-reduce, shared-nothing web apps, big table - scale better.
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Google App Engine for Business 101
Christian Schalk introduces GAE, focusing on the upcoming GAE for Business, demoing some of its new features like hosted SQL, SSL, and SSO.
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The Evolution of the Flickr Architecture
Mikhail Panchenko discusses how Flickr’s code base developed over the years and the scalability problems that started to appear, presenting the the improvements and pros/cons of technologies used.
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Availability, the Cloud and Everything
Joe Williams discusses how distributed systems, cloud computing and configuration management affect system’s availability. He exemplifies with a database service built on CouchDB, Erlang, Chef, EC2.
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