Allie Coleman (colemanja91)

colemanja91

Geek Repo

Company:Self

Location:Cary, NC

Home Page:https://colemanja91.github.io

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Allie Coleman's repositories

docker-kafka-spark-poc

Quickly set up a POC environment for Kafka+Spark

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PyEloqua-Examples

Examples of using Python alongside Eloqua

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python-omniture

A high-level Python wrapper for the Adobe Omniture API.

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eloqua-webhooks

Microservice API for webhook integration with Eloqua forms

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rEloqua

Functions to making it easy to get data from the Eloqua Bulk API for data analytics within R

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eloqua-gcp

Example integration of Eloqua and Google Cloud Platform (GCP)

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os3-luigi

Luigi central scheduler running on Openshift 3

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pyeloqua-LandingPageDecommission

Decommissioning Eloqua landing pages

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airflow-role

Ansible role to install Apache Airflow

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ansible-fail2ban

Ansible role to set up fail2ban in Debian-like systems

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client_python

Prometheus instrumentation library for Python applications

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docker-smtp

SMTP docker container

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dwm

Red Hat's business logic for maintaining marketing data quality

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go-cartridge

custom go openshift cartridge to run Prometheus for monitoring

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great_expectations

Always know what to expect from your data.

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hubspot-gcp

Example integration of Hubspot and Google Cloud Platform (GCP)

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lita-schedule

Add base class for scheduled job(cron) to Lita

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luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

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openshift-cartridge-python-3.5

Embedded python (no web framework) support for openshift

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openshift-community-cartridge-python-3.3

Community cartridge to add Python-3.3 support on OpenShift

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pyeloqua-cleanzipcode

pyeloqua example for beginners showing basic cleanup of US zipcodes

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python-dwm

Python implementation of marketing data washing machine

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resume

Jeremiah Coleman

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simple-salesforce

A very simple Salesforce.com REST API client for Python

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training-data-analyst

Labs and demos for courses in the Data Engineer track of GCP Training (http://cloud.google.com/training).

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