This procedure results in a computer that runs both Mac OS X and Ubuntu in a dual-boot configuration, each operating system using full (whole) disk encryption, and with the Ubuntu root file system stored on a ZFS pool encrypted using LUKS. The specific hardware and software versions used to document this procedure are:
A friend asked me for a few pointers to interesting, mostly recent papers on data warehousing and "big data" database systems, with an eye towards real-world deployments. I figured I'd share the list. It's biased and rather incomplete but maybe of interest to someone. While many are obvious choices (I've omitted several, like MapReduce), I think there are a few underappreciated gems.
###Dataflow Engines:
Dryad--general-purpose distributed parallel dataflow engine
http://research.microsoft.com/en-us/projects/dryad/eurosys07.pdf
Spark--in memory dataflow
http://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdf
| #!/usr/bin/env sh | |
| ## | |
| # This is script with usefull tips taken from: | |
| # https://github.com/mathiasbynens/dotfiles/blob/master/.osx | |
| # | |
| # install it: | |
| # curl -sL https://raw.github.com/gist/2108403/hack.sh | sh | |
| # |
| <?xml version="1.0" encoding="UTF-8"?> | |
| <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> | |
| <modelVersion>4.0.0</modelVersion> | |
| <groupId>com.example</groupId> | |
| <artifactId>my-project</artifactId> | |
| <version>0.0.1-SNAPSHOT</version> | |
| <dependencies> | |
| <!-- none yet --> |
