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:20170312T020000
RDATE:20170312T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
CREATED;VALUE=DATE-TIME:20170318T181912Z
DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170321T200000
DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20170321T183000
DTSTAMP;VALUE=DATE-TIME:20170318T181912Z
LAST-MODIFIED;VALUE=DATE-TIME:20170318T181912Z
UID:http://calagator.org/events/1250471627
DESCRIPTION:Businesses are discovering the untapped potential of large da
 tasets and data streams through the use of technologies for big data pro
 cessing and storage. By leveraging these assets they’re creating a new g
 eneration of applications that derive value from data they used to throw
  away. In this presentation Ian Downard will discuss how to build operat
 ional environments for these types of applications with the MapR Converg
 ed Data Platform and he’ll walk through an example of a next-generation 
 application that uses Java APIs for MapR Streams\, Apache Spark\, Apache
  Hive\, and MapR-DB. We’ll see how these technologies can be used to joi
 n and transform unbounded datasets to find signals and derive new data s
 treams for a financial scenario involving real-time algorithmic trading 
 and historical analysis using SQL. We’ll also discuss how MapR enables y
 ou to run real-time data applications with the speed\, reliability\, and
  security you need for a production environment.&#13\;\n&#13\;\nIan Down
 ard is a technical evangelist for MapR where he is focused on creating d
 eveloper-friendly ways to use the MapR Converged Data Platform.&#13\;\n&
 #13\;\nPersonal Blog: http://www.bigendiandata.com&#13\;\n&#13\;\nTwitte
 r: https://twitter.com/iandownard&#13\;\n&#13\;\nGitHub: https://github.
 com/iandow&#13\;\n \n\nTags: MapR\, spark\, kafka\, nosql\, json\, Zeppe
 lin\, Hive\, streaming\n\nImported from: http://calagator.org/events/125
 0471627
URL:https://www.meetup.com/PDXJUG/events/238323828/
SUMMARY:Java User Group - "Spark and MapR Streams: A Motivating Example"
LOCATION:Jama Software\, 135 SW Taylor\, Suite 200\, Portland\, OR: false
SEQUENCE:1
END:VEVENT
END:VCALENDAR