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Apr 29
2013
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Back in ActionPosted by Oliver Ratzesberger in myblog, general, bigdata |
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Apr 29
2013
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Back in ActionPosted by Oliver Ratzesberger in myblog, general, bigdata |
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Sep 03
2011
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Analytics as a Service - Social SQLPosted by Oliver Ratzesberger in social, bigdata, agile |
The past 12 months had us move Analytics as a Service (A3S) to new maturity levels. For the very first time we have a single point interface for all of our A3S services: the DataHub. I recently presented an overview and demo to a group of industry analysts and the feedback has been overwhelmingly positive.
The combination of Social, private Cloud, Analytics as a Service based on an Open Source built (joomla + kunena) social portal is turning into a killer application for the global enterprise. Never before have we seen agile and community, BI and Analytics brought together through a fully social experience, that allows users, analysts, scientists, executives, PMs - pretty much anybody in the organization to follow each other, link up, like, create groups, publish Analytics and discover new data, new analytics, new insights on the fly.
Search and metad-data are great, as long as you know what to look for. In todays world of BigData this is becoming increasingly complex,
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Feb 12
2011
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Project SingularityPosted by Oliver Ratzesberger in xldb, super computing, mpp, bigdata |
It has been a while since I actively blogged on this personal site of ours. It has been a busy couple of years and our teams have pushed the boundaries of pretty much any technology out there that deals with Data and Analytics.
Some 4-5 years ago we started an internal project and based on Ray Kurzweil's - The SIngularity is Near - we dubbed it Singularity.
We are only weeks away from launching V3 of our Singularity platform and its nothing short of amazing. We set out to scale big, economical, make complex easy, do the impossible in the hands of all our analysts, without special training or knowledge of complex programming languages. Putting hundreds of trillions of behavioral patterns to use, structuring complex data just enough to make it simple to use, yet keep loosely structured patterns they way they are, storing unstructured data as is and project logic and structure at runtime.