albsen

Universal Data Model

In business, master data management (MDM) is a method used to define and manage the critical data of an organization to provide, with data integration, a single point of reference.[1] The data that is mastered may include reference data - the set of permissible values, and the analytical data that supports decision making.[2]

In computing, a master data management tool can be used to support master data management by removing duplicates, standardizing data (mass maintaining),[3] and incorporating rules to eliminate incorrect data from entering the system in order to create an authoritative source of master data. Master data are the products, accounts and parties for which the business transactions are completed. The root cause problem stems from business unit and product line segmentation, in which the same customer will be serviced by different product lines, with redundant data being entered about the customer (a.k.a. party in the role of customer) and account in order to proc

albsen

#!/usr/bin/env python

"""
Real time log files watcher supporting log rotation.

Author: Giampaolo Rodola' <g.rodola [AT] gmail [DOT] com>
License: MIT
"""

import os

albsen

GraphlQL introspection query via curl

cat introspection_query.json

{ 
  "query": "query IntrospectionQuery {
      __schema {
        queryType { name }
        mutationType { name }

albsen

Install Gnumeric on mac OS/X

(adapted from: http://www.rumbud.com/d/how-to-install-gnumeric-and-other-linux-apps-on-mac-osx/)

Install homebrew

brew install gnumeric

Open the "Script editor" application and paste the following code:

albsen

#!/bin/sh

# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/master/.osx

# Set the colours you can use
black='\033[0;30m'
white='\033[0;37m'
red='\033[0;31m'

albsen

Docker Cheat Sheet

Why

Why Should I Care (For Developers)

"Docker interests me because it allows simple environment isolation and repeatability. I can create a run-time environment once, package it up, then run it again on any other machine. Furthermore, everything that runs in that environment is isolated from the underlying host (much like a virtual machine). And best of all, everything is fast and simple."

TL;DR, I just want a dev environment

albsen

package com.nascency.incipit

import com.twitter.finagle.{Service, SimpleFilter}
import org.jboss.netty.handler.codec.http._
import org.jboss.netty.handler.codec.http.HttpResponseStatus._
import org.jboss.netty.handler.codec.http.HttpVersion.HTTP_1_1
import org.jboss.netty.buffer.ChannelBuffers.copiedBuffer
import org.jboss.netty.util.CharsetUtil.UTF_8
import com.twitter.util.Future
import java.net.InetSocketAddress

albsen

albsen

#!/usr/bin/python

import subprocess

# PyObjC-related imports
from AppKit import NSApplication, NSSystemDefined
from PyObjCTools import AppHelper


KEY_UP = 11

albsen

#!/bin/sh
### BEGIN INIT INFO
# Provides: syncthing
# Required-Start: $local_fs $remote_fs
# Required-Stop: $local_fs $remote_fs
# Should-Start: $network
# Should-Stop: $network
# Default-Start: 2 3 4 5
# Default-Stop: 0 1 6
# Short-Description: Multi-user daemonized version of syncthing.