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:STANDARD DTSTART:20151101T020000 RDATE:20151101T020000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20151113T071813Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20151119T193000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20151119T160000 DTSTAMP;VALUE=DATE-TIME:20151113T071813Z LAST-MODIFIED;VALUE=DATE-TIME:20151113T071813Z UID:http://calagator.org/events/1250469392 DESCRIPTION:Nike Consumer Digital Tech is hosting the next Tech Talks on Thursday\, November 19th (4:00-7:30pm)! Join us at the Nike campus for t he talks as well as networking time with snacks and drinks. Learn more a bout and RSVP at: https://niketechtalks-nov2015.splashthat.com. \;\n& #13\;\nReal Time Operational Analytics at the Speed of Thought with Apac he Spark \;\nJags Ramnarayan / Chief Product Visionary\, SnappyData&# 13\;\n \;\nApache Spark has come a long way since it began as a faste r batch oriented map-reduce solution for Hadoop. With support for stream ing\, machine learning\, and most recently SQL\, Spark aspires to become a player in the realm of real time analytics at scale. However\, much o f its underpinnings remain batch oriented and unsuited for highly concur rent OLAP workloads. In this talk\, we will describe how we are innovati ng and renovating Spark's core underpinnings to make it suitable for rea l time operational analytics\, helping create a unified platform that su pports row and column data\, high concurrency\, and approximate query pr ocessing at scale. \;\n \;\nScala\, OODA and Entropy: Thoughts on Continuous Learning \;\nAdam Rosien / Engineer\, Compellon / @arosie n \;\n \;\nIn this talk\, Adam will discuss Compellon's approach t o so-called prescriptive analytics\, which basically means "\;Ok\, b ut what the *&\;^% should I do now!?"\;. He'll talk about the bar riers blocking domain experts from using analytic systems\, how data sci entists bias their models\, and the evolution of Compellon's engine\, wr itten in Scala with Apache Spark. \;\n \;\nFeel free to invite col leagues who would be interested in attending.\n\nImported from: http://c alagator.org/events/1250469392 URL:https://niketechtalks-nov2015.splashthat.com SUMMARY:Nike Tech Talks LOCATION:Nike Decathlon Club Cafe: 15350 SW Koll Parkway\, Beaverton Or 9 7006 US SEQUENCE:1 END:VEVENT END:VCALENDAR