Processing Rat Brain Neuronal Signals Using a Hadoop Computing Cluster – Part III by Jadin C. Jackson, PhD & Bradley S. Rubin, PhD.
From the post:
Up to this point, we’ve described our reasons for using Hadoop and Hive on our neural recordings (Part I), the reasons why the analyses of these recordings are interesting from a scientific perspective, and detailed descriptions of our implementation of these analyses using Hadoop and Hive (Part II). The last part of this story cuts straight to the results and then discusses important lessons we learned along the way and future goals for improving the analysis framework we’ve built so far.
Biomedical researchers will be interested in the results but I am more interested in the observation that Hadoop makes it possible to retain results for ad hoc analysis.