In the Data Science Blog article "Exploring Hidden Relationships: Alteryx Team 1's Journey at the HHS Opioid Code-a-Thon" (Blog Link) it talks about using Alteryx to combine disparate data from multiple sources into something loadable to a Neo4j's graph database. But no where in this great article does it actually step you through how it was done.
I have a use case to try and take logistic shipping information and optimize shipping routes and also compare the actual shipments against a "should be" routing guide.
I have done many wonderful things in Alteryx over the years, and I know there are tools within Alteryx like the R based Network Analysis and Neural Network or many of the spatial tools I could use, but I would like to see if using a Graph Database approach to this problem is a better solution.
The main issue I am having is how to automate, as much as possible, the ETL of multiple source files so that I can create file(s) with the proper Nodes, Properties and Relations structures/details that can then be loaded into Neo4j using Cypher.
I know this is an extremely open ended question I am asking here. I am just wondering if anyone has tried to undertake this activity and can provide me with a little bit of guidance on the best approach in Alteryx for creating properly formatted files that can be loaded into a graph database tool like Neo4J.
Thanks,
Keith