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Seattle Scalability and
Distributed Systems Meetup
May 22, 2013
Atigeo + GraphLab
Program
• Main session(s)
• Community announcements
• After-beer
• Hashtag #seascale
Atigeo
xPatterns is a big data platform that works with data as it's
found: structure or unstructured, siloed or scattershot. By
automatically self-discovering relevance in this "natural" raw
material, xPatterns extracts more knowledge from big data
while greatly reducing the effort, expense, and limitations if
conventional data structuring analysis.
David Talby, VP Eng, Atigeo
@davidtalby
GraphLab: Highly Scalable Machine
Learning in the Cloud
Today, machine learning (ML) methods play a central role in
industry and science, driving the need for scalable, parallel ML
algorithms that can handle "Big Data."
Recently, GraphLab has received tens of thousands of
downloads, and is being actively used by a number of startups,
companies, research labs and universities.
Carlos Guestrin, CEO, GraphLab
@guestrin
Agile Analytics
Bridging the gap between IT and marketing to quickly
deliver marketing insights from complex data
Connected Intelligence. Powerful Insights.
After-beer @ Rock Bottom
next door c/o eSageGroup
Idea for a talk?
In general, we're looking for a deep
technical talk with implementation
details about a big system that's
production-grade :)
http://www.meetup.com/Seattle-Hadoop-HBase-NoSQL-Meetup/

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Seattle scalability meetup intro ppt May 22

  • 1. Seattle Scalability and Distributed Systems Meetup May 22, 2013 Atigeo + GraphLab
  • 2. Program • Main session(s) • Community announcements • After-beer • Hashtag #seascale
  • 3. Atigeo xPatterns is a big data platform that works with data as it's found: structure or unstructured, siloed or scattershot. By automatically self-discovering relevance in this "natural" raw material, xPatterns extracts more knowledge from big data while greatly reducing the effort, expense, and limitations if conventional data structuring analysis. David Talby, VP Eng, Atigeo @davidtalby
  • 4. GraphLab: Highly Scalable Machine Learning in the Cloud Today, machine learning (ML) methods play a central role in industry and science, driving the need for scalable, parallel ML algorithms that can handle "Big Data." Recently, GraphLab has received tens of thousands of downloads, and is being actively used by a number of startups, companies, research labs and universities. Carlos Guestrin, CEO, GraphLab @guestrin
  • 5. Agile Analytics Bridging the gap between IT and marketing to quickly deliver marketing insights from complex data Connected Intelligence. Powerful Insights.
  • 6. After-beer @ Rock Bottom next door c/o eSageGroup
  • 7. Idea for a talk? In general, we're looking for a deep technical talk with implementation details about a big system that's production-grade :) http://www.meetup.com/Seattle-Hadoop-HBase-NoSQL-Meetup/