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Can Hadoop* Software Handle Bioscience Data Growth?

Using Intel® technologies, DuPont shrinks a big data job from thirty days to four

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DuPont Eyes Hadoop* for Bioscience Data Growth

Scientists and IT engineers from DuPont Research IT groups in DuPont Central Research and Development (CR&D) and DuPont Pioneer worked with Hadoop experts from the Intel Datacenter Software Division to explore Hadoop’s feasibility as a next-generation platform for data- and processing-intensive workloads at DuPont R&D.

The team established a Hadoop* and HBase* cluster environment and used it to assess data I/O and analytics performance for actual DuPont R&D workloads. They demonstrated linear scalability on one significant workload, and reduced a major part of the workload, which takes 30 days on the current platform, to four days.

Read the full DuPont Eyes Hadoop* for Bioscience Data Growth White Paper.