The Data Exchange Podcast: Edmon Begoli on distributed online learning and its applications in public health.
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In this episode of the Data Exchange I speak with Edmon Begoli, Chief Data Architect at Oak Ridge National Laboratory (ORNL). Edmon has developed and implemented large-scale data applications on systems like Open MPI, Hadoop/MapReduce, Apache Calcite, Apache Spark, and Akka. Most recently he has been building large-scale machine learning and natural language applications with Ray, a distributed execution framework that makes it easy to scale machine learning and Python applications
Our conversation included a range of topics, including:
- Edmon’s role at the ORNL and his experience building applications with Hadoop and Spark.
- What is distributed online learning?
- Why they started using Ray to build distributed online learning applications.
- Two important use cases: suicide prevention among US veterans and infectious disease surveillance.
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[Image library-university-books-students by Tamás Mészáros.]
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