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Jul 25

Enterprise Data Workflows with Cascading & Mesos - Talk starts at 7pm

By Enterprise Data Workflows with Cascading & Mesos

When and where

Date and time

Thursday, July 25, 2013 · 6:30 - 9:30pm PDT

Location

Widmer Brothers Brewery - GreatRoom (Gasthaus) 955 North Russell Street Portland, OR 97227

Description

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).
This 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 about Mesos, a cluster scheduler akin to Google's "Borg" which is used at scale by Twitter, Airbnb, Box, etc.
Will also include discussion about Mesosphere "Mesos" http://mesosphe.re/

Mesosphere is a novel cloud operating system that treats your datacenter like one big computer. Our technology is an evolution of virtualization: rather than provision and manage virtual machines, companies can execute and manage applications in a datacenter just like launching applications works on a laptop.
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.

Tags

  • United States Events
  • Oregon Events
  • Things to do in Portland, OR
  • Portland Networking

About the organizer

Organized by
Enterprise Data Workflows with Cascading & Mesos

Talk will be led by Paco Nathan.

Paco Nathan is Chief Scientist at Mesosphere, a committer on Cascading, and an O'Reilly author for "Enterprise Data Workflows with Cascading". He is a recognized expert in Hadoop, R, cloud computing, distributed systems, machine learning, and predictive analytics, with 25+ years experience in the tech industry ranging from Bell Labs to early-stage start-ups. For the past 10+ years, Paco has led innovative Data teams building large-scale apps.
 
http://liber118.com/pxn/
@pacoid  
 
Organized/Sponsored By:
Aaron Betik, NIKE, Inc
Global Technology Director, Consumer and Digital Analytics & BI
Sales Ended
Event ended

Enterprise Data Workflows with Cascading & Mesos - Talk starts at 7pm


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