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Showing posts with the label openchorus

Sessions by Dr. Milind Bhandarkar, Chief Scientist at Pivotal

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At the last EMC Academic Conference in India, Dr. Milind Bhandarkar delivered 2 talks.  Here is a short profile of the speaker and links to his sessions. Please feel free to share it – ------------------------------------------------------------------------------------------------------------ Dr. Milind Bhandarkar was the founding member of the team at Yahoo, that took Apache Hadoop from 20-node prototype to datacenter-scale production system, and has been contributing and working with Hadoop since version 0.1.0. He started the Yahoo! Grid solutions team focused on training, consulting, and supporting hundreds of new migrants to Hadoop. Parallel programming languages and paradigms has been his area of focus for over 20 years. He worked at the Center for Development of Advanced Computing (C-DAC), National Center for Supercomputing Applications (NCSA), Center for Simulation of Advanced Rockets, Siebel Systems, Pathscale Inc. (acquired by QLogic), Yahoo! and Linkedin. C...

EMC Greenplum Chorus is open source - OpenChorus Project

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In the legacy analytics process, data scientists face challenges in accessing and sharing the right data. GreenplumChorus helps foster a complete data science ecosystem with best-of-breed analytics applications. As a social platform for collaborative data science, Greenplum Chorus users can increase productivity, decrease administrative burdens on IT infrastructures, and get better visibility and faster access to data through a single tool. EMC recently released the Greenplum Chorus source code under an Apache open source license through the  OpenChorus  Project. The OpenChorus Project will speed innovation and adoption of collaborative data science practices, helping organizations to drive greater business insight and economic value from Big Data. Making OpenChorus accessible to Data Scientists Greenplum and Kaggle joined forces to tackle the short supply and heavy demand for data scientists with an integration between the Kaggle data science c...