How a days-long data process was completed in minutes.
by Roger Magoulas
| @rogerm | 28 January 2011
We recently faced the type of big data challenge we expect to become increasingly common: scaling up the performance of a machine learning classifier for a large set of unstructured data. In this post, we explain how a set-oriented approach led to huge performance gains.
Read Full Post | Comments: 5 |
Analysis: How big data and traditional data warehousing can coexist.
by Barry Devlin
| @BarryDevlin | 27 January 2011
Data warehousing — and information management as a whole — must evolve in a radically new direction if we are to manage big data properly and solve the key issue of finding implicit meaning in data.
Read Full Post | Comments: 6 |
Urban Mapping's Ian White on the shift toward data as a service.
by David Sims
| @ndwoods | 27 January 2011
Urban Mapping CEO Ian White discusses the changing way that data is being sold, and the move to providing data as a service.
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Gnip's Jud Valeski on data resellers, end-user responsibility, and the threat of black markets.
by Julie Steele
| @jsteeleeditor | 26 January 2011
Gnip cofounder and CEO Jud Valeski discusses data markets (and black markets), social media, and real-time data's impact on customer relations.
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LinkedIn's Pete Skomoroch on the key capabilities of data scientists.
by David Sims
| @ndwoods | 25 January 2011
In this brief video interview, LinkedIn senior research scientist Pete Skomoroch reveals the three core skills of data scientists.
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RunKeeper CEO Jason Jacobs on the implications of mobile location technology.
by Bruce Stewart
| @bruce_stewart | 25 January 2011
RunKeeper CEO Jason Jacobs discusses the state of mobile location technology and how he sees it evolving in the near future (hint: we may be on the verge of "thoughtful" services).
Read Full Post | Comments: 3 |
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