InfoQ Homepage Database Content on InfoQ
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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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Machine Learning on Big Data for Personalized Internet Advertising
Michael Recce discusses how advertising works and what algorithms Quantcast uses to analyze large amounts of data in order to find out what people are interested in.
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Grid Gain vs. Hadoop. Why Elephants Can't Fly
Dmitriy Setrakyan introduces GridGain, comparing it and outlining the cases where it is a better fit than Hadoop, accompanied by a live demo showing how to set up a GridGain job.
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Dealing with Performance Challenges - Optimized Data Formats
Sastry Malladi discusses the performance implications of using various data formats and versioning across eBay, showing the results of certain benchmarks concluding that JSON is the best format.
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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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Banking Case Study: Scaling with Low Latency using NewSQL
Jags Ramnarayan and Jim Bedenbaugh present the case of a bank who adopted SQLFire, covering the business requirements, the scalability issues, patterns used and the chosen solution.
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Back to the Future: Sockets and Relational Data in Your (Windows) Pocket
Dragos Manolescu introduces some of the new features in Windows Phone Mango - TCP and UDP sockets, network preferences and local storage –, discussing their optimization for lower power consumption.
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