Posts tagged ‘unstructured data’

The Challenges of Machine Searching

Guest post by Lorna Campbell, Nalanda Technology There are a lot of variables and risks when searching disparate sources with different standards, qualities, volumes and potentially duplicated. If 20% of the average workforce is spent searching, are they finding the material they are looking for in a precise and cost effective manner? In the past we used libraries for research and would ask academics for help, to do so we needed to give precise requirements and variables. If we were not precise there was a risk that the researcher would not provide a helpful response. With growth in unstructured data, in general terms, we need to be as precise or else risk having too many results to manage. Some of […] Continue Reading

Order in Chaos

Big Data is ramping up to be a big business opportunity with companies on average doubling the amount of data they create every two years, and estimated to spend $120bn globally on data analytics software between now and 2015, according to IDC. Hype surrounding Big Data is at an all-time high as companies look to address the increasing volume, variety and velocity in electronic information. Traditional relational databases are becoming less useful and relevant as more ad hoc information is being created outside of those systems. But, while Business Intelligence (BI) tools have been around for a while to extract value from relational databases, few companies currently have the technology in place to apply the same degree of sophistication to […] Continue Reading

Big Data, Fast Data, Smart Data

DAUNTING DATA Every minute, 48 hours of video are uploaded onto Youtube. 204 million e-mail messages are sent and 600 new websites generated. 600,000 pieces of content are shared on Facebook, and more than 100,000 tweets are sent. And that does not even begin to scratch the surface of data generation, which spans to sensors, medical records, corporate databases, and more. As we record and generate a growing amount of data every millisecond, we also need to be able to understand this data just as quickly. From monitoring traffic to tracking epidemic spreads to trading stocks, time is of the essence. A few seconds’ delay in understanding information could cost not only funds, but also lives.   BIG DATA’S NOT […] Continue Reading

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