Insights Drawn from Big Data Scientists Start with PolySpot Information Delivery
October 30, 2012
Big data solutions are not just for early adopter, high-tech companies anymore. The latest New York Times article, “Big Data in More Hands” offers up some names of new solutions that might appeal to mainstream companies and corporations. Many of these are based on open source databases such as Hadoop.
Both Oracle and Microsoft, for example, uses Cloudera. Based on Hadoop, this solution runs queries from a more mainstream SQL programming language interface.
Mike Olson, the chief executive of Cloudera, is quoted in the article stating that Hadoop was seen as too complex:
There is a reason for that. Hadoop is one of several so-called unstructured databases that were created at Yahoo and Google, after those two companies found they had previously unimaginable amounts of data about activities like people’s Web-surfing habits. Put into databases designed to handle this unstructured behavior, then analyzed, this information was valuable for figuring out things like what advertisement to put in front of each individual Web surfer.
This quote from the article reaches into the heart of the significance of big data. Insights can be pulled from a host of different types of data run together under analytics and seen with the fresh eyes of a data scientist. The key then becomes ensuring a proper information management system is in place, such as PolySpot, to allow information to be delivered to all employees necessary within a company.
Megan Feil, October 30, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
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