Category Archives: Big Data

Freerisk – An open platform for risk modeling

Image by ynse via Flickr I’ve been meaning to write about Freerisk.org for a while now, but only got reminded yesterday as I read the Wired article about Toby Segaran’s (and Jesper Anderson’s) new project. Freerisk.org sucks in financial data from the SEC using the XBRL format, allows the community to add additional annotations, and then makes [...]
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TrendingTopics.org: A reference site for data analytics in Hadoop and Hive

In episode 21 of Coast to Coast Bio (not yet released) I talk about Hive. For those who may not know, Hive is a data warehouse infrastructure built on top of Hadoop. One of the most recent Amazon Public Data Sets is a sample of Wikipedia page stat statistics by Peter Skomoroch. The full data [...]
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The future of big compute for big science

Image via Wikipedia As readers of bbgm know, one of the subjects that interests me the most is computing, even though I am hardly a guru, but I’ve been around long enough and close enough to the world of computing to notice and observe various trends in this space. Perhaps the most recent trend, and [...]
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Bursting on to a cloud

OK, cheesy title, but this one pleases me at multiple levels. It was work done on EC2. It is one of the first examples of a MapReduce implementation of something many people will find useful in the world of bioinformatics. And it is one of the sample apps for Elastic MapReduce. Now, it’s a [...]
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Data produced, analyzed and consumed. The impact of big science

When genome centers have to start thinking about large scale data center operations you know something is different. In Science Big, Science Connected, I talked about how the availability of high throughput instruments has fundamentally changed our approach to science. On Coast to Coast Bio, Hari and I often argue about whether this [...]
Also posted in Informatics, Life Science | 8 Comments
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