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X-WR-CALDESC:Events for Information Systems Group
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DTSTART:20190310T100000
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DTSTART:20191103T090000
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DTSTART;TZID=America/Los_Angeles:20191122T130000
DTEND;TZID=America/Los_Angeles:20191122T140000
DTSTAMP:20261108T025047
CREATED:20191115T192950Z
LAST-MODIFIED:20191122T203428Z
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SUMMARY:Texera: Supporting Big Data Analytics for Domain Experts through GUI-based workflows
DESCRIPTION:Speakers:  Avinash Kumar\,  Shengquan Ni\, Zuozhi Wang \n  \nAbstract: Big data analytics is a daunting task for domain experts such as doctors and teachers. Their non-IT background makes it challenging for them to write analytics code and maintain computing infrastructures to efficiently process large amounts of data. Existing data analytics frameworks that offer GUI-based alternatives are mostly limited to a single machine. In light of these facts\, we are developing Texera\, a scalable data-processing system that supports interaction and debugging and is easy to use by non-IT people. One of the challenges of the system is supporting real-time interactions without compromising on scalability. We discuss how we solve the problem in Amber\, the backend engine of Texera. Amber\, built using the actor model\, is a cluster-based distributed engine that can process workflows while supporting interactions. We will show a demonstration of using Texera to analyze social media data.
URL:https://isg.ics.uci.edu/event/amber-a-debuggable-dataflow-system-based-on-theactor-model/
LOCATION:DBH 3011
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