Original jupyter notebook that leverages a public retail bank datset from the Czech Repulic and some of the work done by @namebrandon on Sparkov Data Generation here to create a dataset for demo use showing Account + Credit Card transactons and payments. **Note that the code is stale and should just be used as a point of reference for logic

New jupyter notebook that can be run to generate additional customers with different credit cards and transactions associated with the card. This notebook should be used by googlers with a service account that has write access to the retail_banking storage bucket and the finserv_staging BQ dataset in the Looker demo project. New customers / cards are added as a table to the staging schema in BQ and the transactions are written to CSV files delimited by a pipe in google cloud storage. Requirements for running the notebook can be found here. Existing customers can be used from the customers.csv file.