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ACM Data Mining Camp (Oct 13) and
MapReduce Course (Oct 14)


 
  
The camp is focused on Data Mining, Analytics, Cloud Computing and the various applications of these technologies. The seminar/course provides an introduction to MapReduce, showing how to prototype applications.


ACM ACM Data Mining Camp, Sat Oct 13, 2012
San Francisco Bay Area Association of Computing Machinery

WHAT is an UNCONFERENCE or CAMP? An unconference is an event where users suggest topics, get together and discuss them in detail. This camp is focused on Data Mining, Analytics, Cloud Computing and the various applications of these technologies. See our last Camp as an example:
www.SFbayACM.org/event/data-mining-camp-october-2011

LOCATION: eBay 2161 N First St, San Jose, CA, 95131 (free parking & wifi)
www.SFbayACM.org

Big Data SESSION TOPICS may include

  • Algorithms: Forecasting, clustering, text mining, sentiment, network analysis, collaborative filtering, fraud
  • Verticals: Internet advertising, social networks, targeted marketing, financial services, medical, genetics, green tech, space science, mobile devices, startups
  • Tools/Processes: Commercial, public domain, libraries, in SQL, in cloud
  • Help me: I want am stuck on... I need guidance... How do you...? (suggest topic of general interest)

Big Data Professional Development Seminar
DATE: Sunday, October 14, 2012 8:30 - 4:30 (lunch & snacks included)

LOCATION: eBay 2161 N First St, San Jose, CA 95131 (free parking & wifi)

DESCRIPTION: Big Data, Data Science, Cloud Computing... Lots of exciting stuff, lots of media buzz, lots of confusing descriptions. For a programmer armed with a laptop and some knowledge of Bash and Python scripting, what's a good way to begin working with these new tools for handling large-scale unstructured data?

This course provides an introduction to MapReduce, showing how to prototype applications as Linux command line scripting, then deploy them at scale in the cloud. Examples use Cascading to manage MapReduce application workflows, and Amazon Elastic MapReduce for the cloudbased elastic resources.

In addition to examining "How" things work, we will take a detailed look at "Why" did MapReduce emerge this way - what factors lead to the popular frameworks and what typical issues confront large-scale deployments -- so that each student is prepared to make ongoing assessments and learnings as the field continues to grow and evolve.

Course Objectives and Registration ($95 to $120): www.SFbayACM.org


 
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KDnuggets Home » News » 2012 » Jul » Meetings » ACM Data Mining Camp (Oct 13) and MapReduce Course (Oct 14)  ( < Prev | 12:n16 | Next > )