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:20160313T020000
RDATE:20160313T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
CREATED;VALUE=DATE-TIME:20160301T064415Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160329T200000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20160329T190000
DTSTAMP;VALUE=DATE-TIME:20160301T064415Z
LAST-MODIFIED;VALUE=DATE-TIME:20160810T025045Z
UID:http://calagator.org/events/1250469892
DESCRIPTION:Simple's Data Engineering team has spent the past year and a 
 half building data pipelines to enable the customer service\, marketing\
 , finance\, and leadership teams to make data-driven decisions. We'll wa
 lk through why the data team chose certain open source tools\, including
  Kafka\, RabbitMQ\, Postgres\, Celery\, and Elasticsearch. We'll also di
 scuss the advantages to using Amazon Redshift for data warehousing and s
 ome of the lessons learned operating it in production. Finally\, we'll t
 ouch on the team's choices for the languages used in the data engineerin
 g stack\, including Scala\, Java\, Clojure\, and Python.\n\nTags: meetup
 :event=229249381\, meetup:group=Portland-Data-User-Group\n\nImported fro
 m: http://calagator.org/events/1250469892
URL:http://www.meetup.com/Portland-Data-User-Group/events/229249381/
SUMMARY:Data Engineering Architecture at Simple
LOCATION:Simple: 1615 SE 3rd Ave\, Suite 200\, Portland OR 97214 US
SEQUENCE:2
END:VEVENT
END:VCALENDAR