Objective
- Study querying operations on graphs
- Compare the data science and data mining perspective versus declarative querying on Graph Stores and ML studios (pipelines)
Infrastructure
- Kaggle http://www.kaggle.com (create an account)
- AI Gallery https://studio.azureml.net/
- Docker container with Neo4J: available here
Preparing your infrastructure
- Download docker desktop and install it on your machine: here
- Download our docker container available here
- Run your docker desktop
- Open a terminal and go to the folder where you have downloaded the container
- Activate the docker container executing the command:
docker-compose up
- Open Neo4j Browser at :
http://localhost:7474
Choose no authentication and then click on connect.
First steps
- Target knowledge to acquire: creating a graph
- Research question: Compare how to build graphs on Neo4J and with Python and profile them