Talking head
Big Ruby 2013

This presentation, by Jeremy Hinegardner, is licensed under a Creative Commons Attribution ShareAlike 3.0

Data arrives in all sorts of forms, more and more today we are seeing data arrive in event-like systems: server logs, twitter, superfeedr notifications, github events, rubygems web hooks, couchdb change notifications, etc. We want to analyze streams of data, and find useful pieces of information in them. In this talk, using an existing dataset, we will go through the process of obtaining, manipulating, processing, analyzing and storing a stream of data. We will attempt to touch upon a variety of possible topics including: differences between processing static datasets and stream datasets, pitfalls of stream processing, analyzing data in real time and using the datastream itself as data source.

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