Archive for April, 2012

Thursday, April 26th, 2012

MarkLogic World 2012

I’m getting ready to leave for MarkLogic World, May 1-3 in Washington, DC, and it’s shaping up to be one fabulous conference. I’ve always enjoyed the vibe at these events–it has a, well,¬†cool-in-a-data-geeky-way thing going on (like the XML conference in the early 2000’s where I got to have lunch with James Clark, but that’s a different story). Lots of people with big data problems will be here, and I always enjoy talking to these kinds of people.

I’m speaking on Wednesday at 3:30 with Product Manager extraordinaire¬†Justin Makeig about big data visualization. If you’ll be at the conference, come look me up. And if you won’t, well, forgive me if I need a few extra days to get back to any email you send this way.

Follow me on Twitter and look for the #MLW12 tag for live coverage.

-m

Sunday, April 15th, 2012

Actually using big data

I’ve been thinking a lot about big data, and two recent items nicely capture a slice of the discussion.

1) Alex Milowski recounting working with Big Weather Data. He concludes that ‘naive’ (as-is) data loading is a “doomed” approach. Even small amounts of friction add up at scale, so you should plan on doing som in-situ cleanup. He came up with a slick solution in MarkLogic–go read his post for details.

2) Chris Dixon on Making Large Datasets Useful. Typical approaches like machine learning only solve 80-90% of the problem. So you need to either live with errorful data, or invoke manual clean-up processes.

Both worth a read. There’s more to say, but I’m not ready to tip my hand on a paper I’m working on…

-m

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