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  • Interesting article and integration. Combining the power and elegance of the Mathematica language with the distributed processing capabilities of Hadoop could be very intriguing. However:

    “Notice that a Mathematica kernel is required on each slave node running MapReduce tasks.”

    Unless Wolfram comes up with some attractive license options, I suspect this will be very limiting. The rapid adoption and growth of ecosystems around free platforms such as Hadoop or R will be hard to keep up with, especially among students and big data entrepreneurs.

    What are some of the largest M + Hadoop clusters today?
    What volume license terms are we looking at, say for 1000 nodes?

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  • Interesting article and integration. Combining the power and elegance of the Mathematica language with the distributed processing capabilities of Hadoop could be very intriguing. However: "Notice that a Mathematica kernel is required on each slave node running MapReduce tasks." Unless Wolfram comes up with some attractive license options, I suspect this will be very limiting. The rapid adoption and growth of ecosystems around free platforms such as Hadoop or R will be hard to keep up with, especially among students and big data entrepreneurs. What are some of the largest M + Hadoop clusters today? What volume license terms are we looking at, say for 1000 nodes?
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  • Comment on Mathematica gets Big Data with HadoopLink by Thomas Laussermair
  • Comment on Mathematica Gets Big Data with HadoopLink by Thomas Laussermair
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  • Comment on Mathematica gets Big Data with HadoopLink by Thomas Laussermair
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