Kepware has partnered with Splunk to combine ‘big data’ with the ‘internet of things.’ The latest 5.16 release of Kepware’s KEPServerEX includes a new industrial data forwarder for Splunk plug-in. The data forwarder brings Splunk’s enterprise big data aggregator into the industrial market, streaming industrial sensor data into Splunk’s real-time operational intelligence platform.
SysFera and Kitware have partnered to integrate their high performance computing technologies for scientific data analysis. Kitware’s ParaView, an open-source, multi-platform data analysis and visualization application is now available from the SysFera-DS web interface. Users can launch multiple simulation campaigns on an HPC infrastructure, using ParaView’s 2D and 3D data-analytics from any web browser. Remote simulations can be initiated and managed from a laptop or tablet without large data movement.
BMC has announced Control-M for Hadoop, a toolset that ‘simplifies and automates Hadoop application batch processing.’ Control-M schedules and manages Hadoop jobs and provides a ‘robust’ development environment for developing Pig, Hive, Sqoop, MapReduce and HDFS-based applications.
Distinguished lecturer Michael Franklin, speaking at the Ken Kennedy Institute for Information Technology at Rice University, Houston, introduced BDAS, the ‘Berkeley big data stack.’ BDAS provides an open source, ‘unified’ big data toolset. BDAS comes from the Berkeley AMPLab where machine learning HPC and data scientists congregate.
BP’s massive seismic processing center is moonlighting as a general purpose big data ‘hot zone’ where new ideas are tested and concepts proven. BP’s biofuels division recently used the facility to develop yeasts for ethanol production, a component of the company’s Brazilian green business. The BP center for high-performance computing started out as a 2.2 petaflop facility last year and is expected to triple in bandwidth by 2016.
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