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 Hack/Reduce in Toronto
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Have you used Hadoop?
(Voting is closed)
Yes
40%
 40%  [ 2 ]
No
60%
 60%  [ 3 ]
Total Votes : 5

Author Message
Riku




PostPosted: Wed Apr 20, 2011 12:52 pm   Post subject: Hack/Reduce in Toronto

We organized a big data Hackathon a month ago in Montreal (http://www.hackreduce.org). It was great fun, and we're now bringing the event to Toronto, in June.

We're looking for a venue, probably at a University. If anyone wants to help, with promotion, organizing and finding a venue, you can contact me! It's a great event, brings together professional coders, students, companies. You get to learn Hadoop or just create something cool. In Montreal we had 150 Amazon extra large instances in use, for Toronto, it's going to be bigger. You can drop me an email at riku a hopper.travel if you're interested in helping, can find a venue or have good ideas.

Thanks!
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SNIPERDUDE




PostPosted: Thu Apr 21, 2011 11:59 am   Post subject: RE:Hack/Reduce in Toronto

I'd certainly check with University of Waterloo (from what I can tell a good percentage of this forum has gone to or goes to there for computer science) and University of Toronto (very large body and presence in Toronto). Sounds like a fun event
Riku




PostPosted: Thu Apr 21, 2011 12:14 pm   Post subject: Re: Hack/Reduce in Toronto

Yeah, I'm in contact with UofT and Ryerson. Let's hope we get a good venue so that doesn't become a problem. So this will probably be a good board to get some students to attend as well? I'm wondering if there's a lot of people here working with big data or Hadoop.
Tony




PostPosted: Thu Apr 21, 2011 12:45 pm   Post subject: RE:Hack/Reduce in Toronto

there's occasional interest and maybe even experience through co-op, but big data does not seem prevalent in undergrad.

As a part of the event, will you also be providing the data-sets to hack with?
Latest from compsci.ca/blog: Tony's programming blog. DWITE - a programming contest.
Riku




PostPosted: Thu Apr 21, 2011 12:58 pm   Post subject: Re: Hack/Reduce in Toronto

We provide datasets, some open and some exclusive. We're collecting some new ones now. We also take suggestions from participants if they want to work with specific datasets and pre-load them for them.
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