Four tips (and a few use cases) to take you beyond the big data hype cycle

  1. Think big: Oregon Health & Services University is using big data to speed up analyis of human genone profiles (approx 1 TB per patient). What if sequencing became commonplace instead of rare, and sequencing needed to be done 5k times per day?
  2. Find relevant data for the business
  3. Be flexible: Iterate, don’t build the final system in the 1st release. The lack of schema definition in Hadoop supports this model. Pecan Street In, in Austin, Texas is on their 3rd iteration of a system that collects smart grid energy data, partly because energy meters have become more advanced and provide additional data points.
  4. Connect the dots: Intel uses manufacturing data to change its design process so that future manufacturing processes will become more efficient.


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