At the recent International Conference on Scientific and Statistical Database Management, scientific domain experts, database researchers, practitioners, and developers discussed concepts, tools, techniques, and architectures for scientific and statistical database applications.
Yale University professor Daniel Abadi says that as market demand for analyzing data sets of increasing variety and size continues to grow, the software options for performing this analysis also are starting to spread. Abadi says Yale is developing a hybrid database system called HadoopDB designed to combine the advantages of parallel databases and MapReduce-based systems.
Microsoft's Roger Barga says that data-intensive scalable computing methods are expected to play a more important role in providing support for well-informed technical decisions and policies. He says that researchers and decision-makers increasingly are requiring new combinations of data, more sophisticated data analysis methods, and better ways to present results.
From Scientific Computing
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