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DIANA Meeting - Avro and Numpy for Spark and machine learning

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40/R-B10 (CERN)

40/R-B10

CERN

20
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Jim Pivarski (Princeton University), Nhan Viet Tran (Fermi National Accelerator Lab. (US)), Valentin Y Kuznetsov (Cornell University (US))
Description
Experiences writing from CMSSW to industry-standard file formats for interoperability with big data and machine learning tools.
    • 1
      Overview of file formats
      Speaker: Jim Pivarski (Princeton University)
      pivarski-file-formats.pdf
    • 2
      Usage of BigData tools for HEP (meta)-data
      Speaker: Valentin Y Kuznetsov (Cornell University (US))
      VK_BigData-DIANA-HEP.pdf
    • 3
      Writing Avro directly from CMSSW
      Speaker: Nhan Viet Tran (Fermi National Accelerator Lab. (US))
      big-data-diana.pdf
    • 4
      Reading ROOT files with a pure-Java I/O library
      Speaker: Viktor Khristenko (The University of Iowa (US))
      dianahep_roo4j_20161107.pdf
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