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Analytics as a Service
Written by Oliver Ratzesberger   
Monday, 21 April 2008 00:00

Turning utility computing into a service model for analytics.

With the needs of Enterprise Analytics growing at ever increasing speeds, it becomes clear that traditional hub and spoke architectures are in no way able to sustain the demands driven by increasingly complex business analytics. As with any proliferation of systems the overhead of managing, maintaining and developing trees of increasingly complex dependencies quickly out paces the ability of an organization to deal with its challenges. What may work well at first turns into a real evolution nightmare.

Last Updated on Saturday, 12 February 2011 08:02
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Our Systems

To provide you with a little background of what types of systems we are working on we felt it would be beneficial to share some high level stats about our infrastructure.

Incoming data volumes exceed 50TB per day, with more than 10^11 new items/lines/records being added per day. Our analytical processing infrastructure exceeds 12PB of physical storage with over 4.5PB in our largest cluster.

We leverage compression technologies wherever possible and are achieving compression ratios as high as 96% on our highest volume data feeds.

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