A presentation at OSCON 2012 by Nate Putnam and Dave Revell about Urban Airship's analytics stack. Features Kafka, HBase, and Urban Airship's own open source projects statshtable and datacube.
![Near-realtime analytics with Kafka and HBase](https://cdn-ak-scissors.b.st-hatena.com/image/square/9c18d0a5f312172bb955d32520708658aabed24d/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Foscon2012-120720001214-phpapp02-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)
Adobe Systems uses “SaasBase Analytics” to incrementally process large heterogeneous data sets into pre-aggregated, indexed views, stored in HBase to be queried in real- time. Our goal was to process new data in real- time (currently minutes) and have it ready for a large number of concurrent queries that execute in milliseconds. This set our problem apart from what is traditionally solved with Hi
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