This release is a pre-release and may not be stable for production use.
Metrique
Python/MongoDB Data Warehouse and Information Platform
metrique provides a simple python API to support ETL workloads for extracting data from disperate sources, iteratively, rapidly and reproducibly, with transparent, historical object persistence and tight clientside integration with popular python scientific computing libraries to faciliate creation and publication of a wide variety of analysis and reports, large and small.
Author: “Chris Ward” <cward@redhat.com> Sources: https://github.com/kejbaly2/metrique
Quick Install (auto-deploy -> virtenv)
The instructions given below assume fedora rpm package names:
# prerequisite *os* packages sudo yum install python python-devel python-setuptools python-pip sudo yum install git gcc gcc-c++ gcc-gfortran sudo yum install freetype-devel libpng-devel # matplotlib deps sudo yum install mongodb mongodb-server # additional python global dependencies, from pip sudo pip install pip-accel # faster cached pip installed # make sure our core package managers are up2date sudo pip-accel install -U distribute setuptools # our installation directory should always be a py virtualenv sudo pip-accel install virtualenv # get metrique sources git clone https://github.com/kejbaly2/metrique.git cd metrique # deploy metrique master branch into a virtual environment # including dependencies. # NOTE this takes 10-15 minutes to compile everything from source! ./metrique.py -V ~/metrique.master deploy --all # activate the virtual environment source ~/metrique.master/bin/activate # to persist data, start mongodb ./metrique mongodb firstboot ./metrique mongodb start # launch ipython, connect to a metriqued instance and start mining!
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