[Whitepaper] Transforming Unstructured Data into Actionable Intelligence

You’ve heard the hype, now learn the process. Go beyond the hype of data analytics and Big Data and follow data from the Deep Web through the three-step process transforming raw data into actionable intelligence:

  1. Harvesting
  2. Normalizing and Enrichment
  3. Reporting and Analytics

Download our latest whitepaper to discover how Big Data from the Deep Web becomes usable.

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2012 Top 5 Post Countdown: Structured vs. Unstructured Data

We’ve made it to #1 in our top 5 post countdown! BrightPlanet’s most popular Deep Web University content was our post on Structured vs. Unstructured Data. The post explains the difference between the two different kinds of data. It also talks about the problem with unstructured data and solutions for capturing it.

Check out all the top 5 BrightPlanet Deep Web University posts of 2012!

Top 2012 Post #1

Top 2012 Post #2

Top 2012 Post #3

Top 2012 Post #4

Top 2012 Post #5

 

Photo: jjandames

Posted in Deep Web and Big Data | Tagged , , , |

Structured vs. Unstructured data

With respect to the mass categorization that is central to most computer operations, there are two types of relevant data which affect speed of assimilation as well as information recall: structured data and unstructured data.

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What is Big Data?

They say that curiosity is the cure for boredom, and if you’ve ever tried to find specific and detailed information using one of the popular search engines, you’ve probably spent your share of hours in front of the computer screen frustrated.  It seems as though you should be able to find relevant websites and databases, but your search results return many different websites with the exact same information. What many people don’t know is that beyond their online presence on Facebook, YouTube and Google there is a vast wealth of knowledge waiting to be discovered. This information is commonly referred to as big data, and is largely inaccessible to conventional web users. Continue reading »

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