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:20130310T020000 RDATE:20130310T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20130715T170107Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20130725T210000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20130725T190000 DTSTAMP;VALUE=DATE-TIME:20130715T170107Z LAST-MODIFIED;VALUE=DATE-TIME:20130715T170827Z UID:http://calagator.org/events/1250464558 DESCRIPTION:Cascading is an open source workflow abstraction atop Hadoop and other Big Data frameworks\, with a 5+ year history of large-scale En terprise deployments. For example\, half of Twitter's total compute uses this API\, along with other large use cases at eBay\, Etsy\, Airbnb\, L inkedIn\, Apple\, Climate\, Nokia\, Factual\, Telefonica\, etc. Cascadin g leverages some aspects of functional programming so that developers ca n create large-scale data pipelines which are robust and easier to opera tionalize. There are popular DSLs in Scala (Scalding) and Clojure (Casca log)\, plus Jython\, JRuby\, etc. Recent support also implements DSLs fo r ANSI SQL (Lingual) and PMML (Pattern). \;\n \;\nThis talk will describe the technology and some of the large use cases for Cascading\, plus show sample apps in Scalding\, Cascalog\, and go into examples of ANSI SQL with Lingual and PMML with Pattern. We'll also cover material a bout Mesos\, a cluster scheduler akin to Google's "\;Borg"\; whi ch is used at scale by Twitter\, Airbnb\, Box\, etc. \;\n \;\nDoo rs are open at 6:15\, Talk starts at 7pm. Light snacks\, beverages and brews will be available and will have a social hour following the talk. \;\n \;\nPlease RSVP via Eventbrite if you plan to attend: http:/ /pdx-hadoop.eventbrite.com/ \;\n \;\nTalk will be led by Paco Nath an. \;\n \;\nPaco Nathan is Chief Scientist at Mesosphere\, a comm itter on Cascading\, and an O'Reilly author for "\;Enterprise Data W orkflows with Cascading"\;. He is a recognized expert in Hadoop\, R\ , cloud computing\, distributed systems\, machine learning\, and predict ive analytics\, with 25+ years experience in the tech industry ranging f rom Bell Labs to early-stage start-ups. For the past 10+ years\, Paco ha s led innovative Data teams building large-scale apps. \;\n \;\nh ttp://liber118.com/pxn/ \;\n@pacoid \;\n \;\nOrganized/Spons ored By: \;\nAaron Betik\, NIKE\, Inc \;\nGlobal Technology Direct or\, Consumer and Digital Analytics &\; BI\n\nTags: data science\, bi g data\, hadoop\, cascading\, scalding\, cascalog\n\nImported from: http ://calagator.org/events/1250464558 URL:http://pdx-hadoop.eventbrite.com/ SUMMARY:Enterprise Data Workflows with Cascading - Hadoop LOCATION:Widmer Brothers Gasthaus: 955 N Russell St\, Portland Oregon 972 27 US SEQUENCE:2 END:VEVENT END:VCALENDAR