Closed gertzen closed 10 years ago
@gertzen My problem with this talk is that I won't be here in November! This looks really great. @DOSUG/boardmembers, you down?
Sounds good. I'll be there!
Mike
On Oct 11, 2013, at 10:15 PM, Tim Berglund notifications@github.com wrote:
@gertzen My problem with this talk is that I won't be here in November! This looks really great. @DOSUG/boardmembers, you down?
— Reply to this email directly or view it on GitHub.
@danhillenbrand Wanna get this sucker on the site? I think it's time to :shipit:. :)
Any update on this @danhillenbrand? Would like to promote it among some friends so that the turnout is solid.
Thanks,
Josh Gertzen 720-505-3618 | twitter: gertzen linkedin.com/in/gertzen facebook.com/josh.gertzen
On Oct 15, 2013, at 10:03 AM, Tim Berglund notifications@github.com wrote:
@danhillenbrand Wanna get this sucker on the site? I think it's time to . :)
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Sorry guys, just seeing this now, so I'll get on it a.s.a.p. My email client has taken "changing for the sake of changing" to heart, and has resulted in my need to re-think how I filter my own little "big data" so these don't get lost again...
Alright, it's there now. Again, my apologies. I'll be changing the email service I've relied on for over a decade; it was overdue anyway. See you at the meetup!
@danhillenbrand Thank you for getting this taken care of!
Our world is under attack. And not just by the usual suspects we always hear about on the evening news, but by data! Buckets full, truckloads, and shiploads of data fill our data centers around the globe. Every day over 2.5 billion billion bytes of data are created. A huge computing challenge facing us over the coming decades lies in figuring out what to do with all that data and how to extract meaningful, actionable information from it.
Thankfully, humans are great at filtering through huge amounts of information! We do it every day with our senses and one of the most powerful senses is sight. Therefore, a key way to derive meaning from all this data is to represent it visually! In this talk, Josh will walk you through a quick overview of big data concepts including a typical big data map reduce code example. He'll then wire up the output of the data into an HTML5 visualization layer and showcase how different insights can be quickly achieved from the same big data set.