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DTSTART:20141102T020000
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BEGIN:VEVENT
CREATED;VALUE=DATE-TIME:20150211T182119Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150304T203000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20150304T183000
DTSTAMP;VALUE=DATE-TIME:20150211T182119Z
LAST-MODIFIED;VALUE=DATE-TIME:20150211T182119Z
UID:http://calagator.org/events/1250467823
DESCRIPTION:&quot\;No talks. You may opt to take up to 60 seconds to comp
 lain about Big Data. One paper per month\, no obligation to read it.&quo
 t\;&#13\;\n&#13\;\nWe'll start by letting anyone who wants to take up to
  a minute to tell us what they've been doing with data lately.&#13\;\n&#
 13\;\nThis month's paper is [Resilient Distributed Datasets: A Fault-Tol
 erant Abstraction for In-Memory Cluster Computing](https://www.cs.berkel
 ey.edu/~matei/papers/2012/nsdi_spark.pdf) by Zaharia etal. Read it or do
 n't - the goal is just to have something to start conversations. &quot\;
 Did you read the paper?&quot\; will do nicely. &#13\;\n&#13\;\nMention @
 PDXBigData on Twitter with the link to the full paper to suggest papers 
 for future sessions.&#13\;\n&#13\;\nThere will be pizza.\n\nTags: math d
 ata statistics hadoop bigdata\n\nImported from: http://calagator.org/eve
 nts/1250467823
URL:https://twitter.com/pdxbigdata
SUMMARY:PDX Big Data Discussion Group
LOCATION:Urban Airship Inc: 1417 NW Everett St\, Suite 300\, Portland OR 
 97209 US
SEQUENCE:2
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