InfoQ Homepage NoSQL Content on InfoQ
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Bringing Riak to the Mobile Platform
Kresten Krab Thorup discusses bringing Riak to mobile. He covers Riak’s data model, BucketDB – a Riak client-, and the protocol used to synchronize the data on the device between BucketDB and Riak.
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NoSQL Database Technology: A Survey and Comparison of Systems
James Phillips presents the origins of NoSQL, followed by a comparison of various NoSQL solutions and ending with an architect’s view of Couchbase.
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The Challenge of Connected Data
Jim Webber talks about the data of these days, how integrated data looks, how to model it using actual data stores and the implications of this modeling.
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NetApp Case Study
Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.
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Hadoop and Cassandra, Sitting in a Tree ...
Jake Luciani introduces Brisk, a Hadoop and Hive distribution using Cassandra for core services and storage, presenting the benefits of running Hadoop in a peer-to-peer masterless architecture.
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Data, Be Like Water
Paul Sanford presents the transformations supported by data throughout its life cycle, and how that can be better done with Splunk, an engine for monitoring and analyzing machine-generated data.
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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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