InfoQ Homepage NoSQL Content on InfoQ
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Grails Goes Graph
Stefan Armbruster discusses building a Grails application with a graph data store based on Neo4j and sharing insight based on his own experience using such a system in production.
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Riak and Dynamo, Five Years Later
Andy Gross reflects on five years of involvement with Riak and distributed databases and discusses what went right, what went wrong, and what the next five years may hold for Riak.
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Dynamo: Theme and Variations
Shanley Kane discusses Dynamo - consistent hashing, vector clocks, hinted handoff, gossip protocol - advances in each area, and how querying and application development has changed as a result of them
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Integrating SQL & NoSQL & NewSQL & Realtime Data Intelligence for the Financial Industry
Charles Cai, Ashwani Roy discuss a robust, cost effective, hypothetical solution to address extreme challenges in financial institutions, from decision making support to pricing and risk management.
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The Past, Present, and Future of NoSQL
Matt Asay outlines the reasons for NoSQL's existence and persistence, and will identify the trends that point to a bright future for post-relational databases.
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A Little Graph Theory for the Busy Developer
Jim Webber explores graph data analytic techniques using social graph properties inspired by anthropology and sociology, extracting online business intelligence from graph matching.
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MongoDB Large-scale Data Centric Architectures
Kenny Gorman provides advice on designing systems using MongoDB in order to avoid some of the pitfalls lurking along the way.
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Architectural Patterns for High Availability
Adrian Cockcroft presents Netflix globally distributed architecture, the benchmarks used, scalability issues, and the open source components their implementation is based upon.
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Introduction to Spring Data
Mark Pollack provides a guided tour plus demos of the Spring Data feature set.
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MySQL to NoSQL: Data Modeling Challenges in Supporting Scalability
Kenneth M. Anderson shares some of the data modeling issues encountered while transitioning from a relational database to NoSQL.
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Apache Cassandra Anti Patterns
Matthew Dennis covers the most common mistakes made with Cassandra that he has noticed being made both in deployment and code.
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Transactions: Over Used or Just Misunderstood?
Mark Little provides advice on when it is not recommended to use transactions and how to use transactions with Web Services, NoSQL, REST and mobile infrastructures.
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