Overview

• This project explores the use case of anti-money laundering / fraud detection using Graph Databases
• Data set has been obtained from Kaggle: https://www.kaggle.com/ntnu-testimon/paysim1
• Aims to create an end to end solution from cloud architecture to application / api

Project Structure

• app: Application / API source code. Runtime python2.7 on AWS Lambda + AWS API Gateway
• data: data source, data collection
• etl: ETL code running on AWS Glue
• infra: Infrastructure as Code to spin up all resources in AWS using Cloudformation

Event Driven ETL Architecture