Come to Toronto October 23, 24, 25
Hello
Toronto has a lot going on, especially if you are into Linux. For those in your family who are not into Linux there is lots to do for them as well.
First we have the Free Software and Open Source Symposium in Toronto, Oct 23/24.
http://fsoss.senecac.on.ca/2008/
A list of the presentations are here: http://fsoss.senecac.on.ca/2008/?q=node/14
Then there is the Ontario Linux Fest on October 25.
A list of the presentations is here: http://onlinux.ca/topics/OLF2008
You could not find a better week to be in Toronto since the Blue Jays won the World Series. But what about your significant other who may not care to be at a computer conference? Toronto has great shopping, shows, parks, museums, and art galleries.
Do you like Castles built by eccentrics? we have one here.
Do you like dinosaur bones? We have them at the Royal Ontario Museum along with lots of other neat stuff.
Fine art your thing? The Art Gallery of Ontario is one of the great galleries of the world.
Live theater? lots of that too.
We have great restaurants as well.
Check out the Toronto Tourism Website at:
http://www.seetorontonow.com/visitor/Experience.aspx
There is always lots to see and do in Toronto. Our Linux conferences are just an extra reason to come.
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It's Raspberry Pi month at Linux Journal. Each week in May, Adafruit will be giving away a Pi-related prize to a lucky, randomly drawn LJ reader. Winners will be announced weekly.
Fill out the fields below to enter to win this week's prize-- a Pi Cobbler Breakout Kit for Raspberry Pi.
Congratulations to our winners so far:
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Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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