Blog posts from CYBAEA

Beautiful Data

27 July 2009

O’Reilly’s recent publication Beautiful Data has a chapter by Jeff Jonas which is enough reason in itself for me to recommend it. The chapter, Data Finds Data, is also available as a PDF download.

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Massively parallel database for analytics

22 July 2009

This is by far the best description of why traditional parallel databases (like Teradata, Greenplum et al.) is a evolutionary dead end. But much more than a theoretical discussion, they have built a solution which they call HadoopDB. It is based on Hadoop, PostgreSQL, and Hive and is completely Open Source. Alternative, column-based, backends to PostgreSQL are being implemented now. Read: Announcing release of HadoopDB.

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B2B Content Marketing

22 July 2009

The nice people at Velocity has released The B2B Content Marketing Workbook. It is behind a registration wall which means we wouldn’t normally recommend it but you can just type junk in the fields if you are not comfortable with giving your personal details to a marketing agency. (Think about it….) If you are relatively new in the B2B world, say having joined a professional services or consulting organization, you may find this one useful.

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Marketing lessons from antiquity

10 July 2009

A story from antiquity involving a king of Rome and a Greek Sibyl has lovely marketing lessons.

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The Knapsack Problem

10 July 2009

David posts a question about how to solve this knapsack problem using the R statistical computing and analysis platform. My reply in the comments seems to have disappeared for a while so here is my proposed solution. See David’s blog for my earlier proposed solution with a very common error.

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OECD Statistics

2 July 2009

I am a sucker for good quality data. I wrote about, the US Government data site before, and now I find OECD Statistics which has some 300 data sets, many of which seems to be readily accessible (though some may require subscription)

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R tips: Determine if function is called from specific package

16 June 2009

I like the “multicore” library for a particular task. I can easily write a combination of if(require("multicore",...)) that means that my function will automatically use the parallel mclapply() instead of lapply() where it is available. Which is grand 99% of the time, except when my function is called from mclapply() (or one of the lower level functions) in which case much CPU trashing and grinding of teeth will result.

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R tips: Installing Rmpi on Fedora Linux

12 June 2009

Somebody on the R-help mailing list asked how to get Rmpi working on his Fedora Linux machine so he could do high-performance computing on a cluster of machines (or a single multicore machine) using the R statistical computing and analysis platform. Since it is unusually painful to get working, I might as well copy the instructions here.

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Data Mashups in R from O’Reilly

9 June 2009

O’Reilly has published Data Mashups in R as a $4.99 PDF download in their Short Cut series. In 27 pages it takes you through an example of how to combine foreclosure information with maps and geographical information to produce plots like the one below. This is all done with the R statistical computing and analysis platform.

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How to win the KDD Cup Challenge with R and gbm

1 June 2009

Hugh Miller, the team leader of the winner of the KDD Cup 2009 Slow Challenge (which we wrote about recently) kindly provides more information about how to win this public challenge using the R statistical computing and analysis platform on a laptop (!).

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