iPhone Diagnostics with MapReduce

Today is iPhone 5 Launch day...

So to all iPhone fans among the Hadoop enthusiasts, cross-posting a small example of how MapReduce can be used for analytics from iPhone diagnostic packets...good MapReduce learning example...

IPhone packet

"If we're interested in how often someone uses the Weather app on the iPhone, we might want to calculate a difference in timestamps of just those packets related to the Weather app, rather than simply extracting a field. (Map-Reduce is great at operations like this.) We might also want to infer an action (or task, or behaviour) from a long sequence of transactions, and just export the action and associated variables (time, user, location, ...) as structured data. Or we might want to convert unstructured text to a quantitative measure (number of instances of key words or phrases, or the "sentiment" expresssed in the text: happy, angry, upset, etc.)."

via : http://blog.revolutionanalytics.com/2012/06/data-distillation-with-hadoop-and-r.html

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In-memory data model with Apache Gora

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