InfoQ Homepage NoSQL Content on InfoQ
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Data Infrastructure @ LinkedIn
Sid Anand presents the architecture set in place at LinkedIn and the data infrastructure running Java and Scala apps on top of Oracle, Voldemort, DataBus and Kafka.
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Dynamo Is Not Just for Datastores
Susan Potter discusses Dynamo, Riak, distribution, consistency and fault tolerance, along with techniques and an example for building an application with riak_core.
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The Evolving Panorama of Data
Martin Fowler and Rebecca Parsons discuss how data has changed over the years, what is IT’s response to this change, and how data is used by organizations these days.
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Keeping Movies Running Amid Thunderstorms!
Siddharth Anand presents how Netflix’s architecture evolved from a traditional 3-tier configuration to a cloud-based one, detailing the scalability and fault tolerant issues encountered.
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1,000,000 Daily Users and No Cache
Jesper Richter-Reichhelm shares the lessons learned while scaling their game platforms to handle millions of users, each game being built by small teams of two developers without dedicated ops.
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An Introduction to Doctor Who (and Neo4j)
Ian Robinson introduces Neo4J, a graph database, discussing how it can be used to store and work with data associated with Doctor Who.
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Introducing RavenDB: NoSQL is Rapping at Your Door
David Neal introduces RavenDB, a document-oriented database with .NET, Silverlight, JavaScript and REST APIs.
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Eventually Consistent HTTP with Statebox and Riak
Bob Ippolito explains how to solve concurrent update conflicts with Statebox, an open source library for automatic conflict resolution, running on top of Riak.
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Transactions without Transactions
Richard Kreuter and Kyle Banker on how to avoid classical RDBMS transactional systems by using compensation mechanisms, transactional messaging or transactional procedures.
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Wrap Your SQL Head Around Riak MapReduce
Sean Cribbs explains what Map-Reduce and Riak are, why and how to use Map-Reduce with Riak, and how to convert SQL queries into their Map-Reduce equivalents.
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Polyglot Persistence for Java Developers - Moving Out of the Relational Comfort Zone
Chris Richardson shows how he ported a relational database to three NoSQL data stores: Redis, Cassandra and MongoDB.
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Using MongoDB on Mono
Justin Dearing introduces MongoDB, and shows how to interact with Mono via the official 10gen driver. Techniques for handling business logic in application code, such as LINQ are discussed.
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