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Aspire Content Processing for Big Data Applications

HEADLINES 

  • Big data systems have been around for years, deriving insight from transactional records and other forms of structured, machine-generated data
  • Much of the current excitement surrounding big data concerns the possibilities of bringing all of the human-generated, unstructured content into the analysis, creating a holistic view.


STRUCTURING THE UNSTRUCTURED
Before unstructured content can be usefully analysed, it must first be captured, cleansed, normalized and enriched with metadata – which adds structure. 

Doing this in a transparent and organized way is critical to creating actionable insights. 

At Search Technologies, we’ve been designing and implementing human-generated text processing systems since our foundation in 2005, and in combination with our Hadoop expertise, this experience positions us to help customers create game-changing big data applications. 

Contact us for an informal discussion of your big data application ideas.