Event Info – http://www.pdx-hadoop.eventbrite.com
Thu, Jul 25 6:30-9:30 PM (PDT)
Widmer Brothers Brewery – GreatRoom (Gasthaus)
955 North Russell Street
Portland, OR 97227
Organized/Sponsored By: Aaron Betik, NIKE, Inc
Global Technology Director, Consumer and Digital Analytics & BI
Doors 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 by Paco Nathan.
Cascading is an open source workflow abstraction atop Hadoop and other Big Data frameworks, with a 5+ year history of large-scale Enterprise deployments. For example, half of Twitter’s total compute uses this API, along with other large use cases at eBay, Etsy, Airbnb, LinkedIn, Apple, Climate, Nokia, Factual, Telefonica, etc. Cascading leverages some aspects of functional programming so that developers can create large-scale data pipelines which are robust and easier to operationalize. There are popular DSLs in Scala (Scalding) and Clojure (Cascalog), plus Jython, JRuby, etc. Recent support also implements DSLs for ANSI SQL (Lingual) and PMML (Pattern).