InfoQ Homepage NoSQL Content on InfoQ
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Writing Applications for Cloud Foundry Using Spring and MongoDB
Thomas Risberg and Jared Rosoff show how to create Spring applications using Spring Data and MongoDB, applications deployed on Cloud Foundry.
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Why CouchDB?
Benjamin Young introduces CouchDB, it’s schema-less data store, REST API, HTTP-based replication, plugins such as R-tree and GeoCouch, ways to scale it out and then scaling down with mobile solutions.
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Panel: NoSQL Applications
Andy Gross, Frank Weigel, Matt Pfeil, Jared Rosoff, and Michael Stack, moderated by Alexandru Popescu, discuss various NoSQL solutions, what they are good for, what they offer, how they compare, etc.
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SimpleGeo: Staying Agile at Scale
Mike Malone discusses principles of good and bad (software) architecture determining SimpleGeo’s architecture: deal with change, embrace failure, phased adoption, balanced security, and others.
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Distributed Systems: What Nobody Told You
Shaneal Manek tells the story of how things can go wrong with a distributed system which turned into a success after incorporating appropriate tools for monitoring, analytics, logging, security.
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Bringing Riak to the Mobile Platform
Kresten Krab Thorup discusses data models for Riak, a protocol for synchronizing key-values, and BucketDB, a mobile Riak client.
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Introduction to Spring Data Neo4j
Michael Hunger discusses graph databases and the need for them in the larger context of NoSQL data stores, introducing Spring Data, Neo4j, and Spring Data Neo4j.
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Case Study: Riak on Drugs (and the Other Way Around)
Kresten Krab Thorup discusses a MySQL project that was moved to Riak for high availability, scalability and to run off multiple data centers, sharing the experiences, pitfalls and lessons learned.
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SQLFire: Scalable SQL instead of NoSQL
Jags Ramnaraya presents SQLFire and how SQL can be used for modern data stores backing online highly scalable applications by using a different consistency model and sharing nothing persistence.
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Using A Graph Database To Power The “Web of Things”
Rick Bullotta and Emil Eifrem discuss how to use graph databases to model the real world, people, systems and things, talking advantage of the relationships between various data elements.
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HBase @ Facebook
Kannan Muthukkaruppan overviews HBase, explaining what Facebook Messages is and why they chose HBase to implement it, their contribution to HBase, and what they plan to use it for in the future.
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Nokia: Lessons Learnt Migrating a Very Large and Highly Relational Database into a "Classic" NoSQL
Enda Farrell discusses how they ported Nokia’s places registry to NoSQL, the reasons, the complexity involved and the lessons learned along the way in terms of people, tools and data.
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