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airflow's Introduction

Airflow + CeleryExecutor to schedule

Technology Component Used :

  • Airflow 1.9.0 with CeleryExector
  • PostgreSQL (Docker)
  • RabbitMQ (Docker)
  • MongoDB (Docker)

Commands to Activate

docker-compose up -d
source activate activate xxx_py3
source setenv.sh
airflow scheduler
airflow webserver -p 8080

realtime data pipeline for crawler

The goal of this repo is to design a scalable data pipeline to collect, aggregate, and analyze sensors data from persoanl device Linkit + mpu9250.

List of Features

[x] TBD

Update Your Own Twitter Key and Secret at plugins/twitter_plugin.py

consumer_key = '<YOUR_CONSUMER_KEY>'
consumer_secret = '<YOUR_CONSUMER_SECRET>'
access_token = '<YOUR_ACCESS_TOKEN>'
access_token_secret = '<YOUR_CONSUMER_TOKEN_SECRET>'

airflow's People

Contributors

lin1000 avatar

Watchers

James Cloos avatar avatar

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