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Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark

Język publikacji: angielskim
Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark Rindra Ramamonjison, Rindra Ramamonjison - okladka książki

Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark Rindra Ramamonjison, Rindra Ramamonjison - okladka książki

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O autorach książki

Rindra Ramamonjison is a fourth year PhD student of electrical engineering at the University of British Columbia, Vancouver. He received his master's degree from Tokyo Institute of Technology. He has played various roles in many engineering companies, within telecom and finance industries. His primary research interests are machine learning, optimization, graph processing, and statistical signal processing. Rindra is also the co-organizer of the Vancouver Spark Meetup.
Rindra Ramamonjison is a fourth year PhD student of electrical engineering at the University of British Columbia, Vancouver. He received his master's degree from Tokyo Institute of Technology. He has played various roles in many engineering companies, within telecom and finance industries. His primary research interests are machine learning, optimization, graph processing, and statistical signal processing. Rindra is also the co-organizer of the Vancouver Spark Meetup.

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