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5 Big Data Myths, Busted
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HM
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HM,
User Rank: Moderator
11/19/2013 | 11:12:33 PM
Big Data.
Doug, great insight into these myths. We are seeing an increase in businesses seeking specialized skills to help address challenges that arose with the era of big data. The HPCC Systems platform from LexisNexis helps to fill this gap by allowing data analysts themselves to own the complete data lifecycle. Designed by data scientists, ECL is a declarative programming language used to express data algorithms across the entire HPCC platform. Their built-in analytics libraries for Machine Learning and BI integration provide a complete integrated solution from data ingestion and data processing to data delivery. HPCC Systems provides proven solutions to handle what are now called Big Data problems, and have been doing so for more than a decade. More at http://hpccsystems.com
J_Brandt
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J_Brandt,
User Rank: Ninja
11/19/2013 | 12:28:19 PM
Bite the Bullet
There is data that companies have "forgotten" they are capturing.  With a little work it be related to other data or analyzed in ways that make it truly valuable.  The bad/dirty data issue is just one that people have to bite the bullet on.  It's not going to get any better (or smaller) by waiting.
D. Henschen
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D. Henschen,
User Rank: Author
11/19/2013 | 9:45:09 AM
Use the data you've already captured
Arnab Gupta makes the point that many successful big data deployments are taking advantage of data companies have already captured but aren't using. CRM comment fields about customers, for example, are easier to crack than the fire hoses of comments out there on social networks.


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