This project downloads Cityflitzer's car positions via simple web API. The aim is to do some data mining and visualization. Because this is my first data mining/visualization project I use Elasticsearch and Kibana

TODO not bulletproof, needs rework

Just follow these steps:

• Build the Docker image for Datatransformation inside docker: docker-compose build
• Start Elasticsearch and Kibana inside docker: docker-compose -p cf up -d
• Create passwords for your Elastic stack: docker exec -it cf_elasticsearch_1 bin/elasticsearch-setup-passwords interactive
• copy .netrc_sample to .netrc and put your credentials inside
• setup a cron job for downloading the data every x minutes running download.sh
• after having some data run import.sh
• currently the approach to calculate rental durations is to transform the data with calculated begin and end, this happens by running transform.sh