BEGIN:VCALENDAR
PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN
CALSCALE:GREGORIAN
X-WR-CALNAME:Calagator
METHOD:PUBLISH
VERSION:2.0
BEGIN:VTIMEZONE
TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles
BEGIN:DAYLIGHT
DTSTART:20120311T020000
RDATE:20120311T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
CREATED;VALUE=DATE-TIME:20120406T014527Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20120425T210000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20120425T190000
DTSTAMP;VALUE=DATE-TIME:20120406T014527Z
LAST-MODIFIED;VALUE=DATE-TIME:20120406T014527Z
UID:http://calagator.org/events/1250462242
DESCRIPTION:Presentation this month by Dave Revell from Urban Airship.&#1
 3\;\n&#13\;\nOVERVIEW&#13\;\n&quot\;The main topic will be how we use Ha
 doop and HBase at Urban Airship for collecting and analyzing data from m
 obile apps. Mobile app developers integrate our client library into thei
 r apps\, which send analytic events to our backend. We'll talk about the
  problems involved in collecting and analyzing data at scale. We use HBa
 se for storing raw events\, for feeding the analysis processes\, and ser
 ving the generated reports. We use Hadoop Mapreduce for ad-hoc analysis 
 and moving large amounts of data\; we'll talk about why it's unsuitable 
 for the kind of near-real-time incremental analysis that we do.&#13\;\n&
 #13\;\nFor the data scientists\, we'll talk about our data set and types
  of analyses we'd like to do. Our current reports are fairly basic\, but
  we'd like to know what factors affect user engagement with mobile push 
 notifications and whether we can make predictions about their effectiven
 ess.&quot\;&#13\;\n&#13\;\nQuestions and suggestions are definitely welc
 ome. Post on Google Groups Page:&#13\;\nhttps://groups.google.com/d/foru
 m/pdx-h-d-s\n\nTags: data science\, big data\, hadoop\, network theory\,
  quantitative analysis\n\nImported from: http://calagator.org/events/125
 0462242
URL:http://groups.google.com/group/pdx-h-d-s
SUMMARY:Pdx Hadoop - Data Science Meeting
LOCATION:Cloudability: 334 NW 11th Avenue\, Portland OR 97209 US
SEQUENCE:1
END:VEVENT
END:VCALENDAR
