Monthly Archives: May 2015

Update on Snowdoop, a MapReduce Alternative

Mad (Data) Scientist

In blog posts a few months ago, I proposed an alternative to MapReduce, e.g. to Hadoop, which I called “Snowdoop.” I pointed out that systems like Hadoop and Spark are very difficult to install and configure, are either too primitive (Hadoop)  or too abstract (Spark) to program, and above all, are SLOW. Spark is of course a great improvement on Hadoop, but still suffers from these problems to various extents.

The idea of Snowdoop is to

  • retain the idea of Hadoop/Spark to work on top of distributed file systems (“move the computation to the data rather than vice versa”)
  • work purely in R, using familiar constructs
  • avoid using Java or any other external language for infrastructure
  • sort data only if the application requires it

I originally proposed Snowdoop just as a concept, saying that I would slowly develop it into an actual package. I later put the beginnings of a…

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Installing R in Ubuntu

First of all, It’s possible to install R from the Ubuntu Software Center

Screenshot from 2015-05-24 02:33:20

But it’s so outdated, so some packages won’t work for maintenance issues.

To be able to install the current version you must modify the file sources.list

To do that, go to the terminal and type:

sudo nano /etc/apt/sources.list

And you should add the following line:

deb trusty/

That adress is because I’m on Chile, thus you have to replace it for the right mirror belonging to your country. To know that, just go to:

After you have modified the sources.list type the following:

sudo apt-get install r-base
sudo apt-get install r-base-dev

And now you have R ready to use it. Though, I recommend to use it along with RStudio.