I am a Cloud/Solution architect for an OTT media service provider company based in Taipei, Taiwan.
We're trying to integrate all kinds of data available in our platform together with Neo4j. For example, explore interesting insights of the behavior between users, ads and TV dramas.
To do so, I am working on design and implement data pipeline workflow to ship and connect those data with Neo4j.
Welcome to the forum Chuan-Yen !
Let us know how it goes, and what kind of tech-stack you're using with Neo4j.
It still on the early stage, but I have made a prototype to demonstrate the ideas of the next stage of data analysis system by using Neo4j and how it works with various ML/Classification algorithm and tools.
However, there has been a lot of debate on the transition from RDB to Neo4j. Mainly focus on query language, visualization, integration with 3rd party analysis/visualization tools like tableau, HA and so on.
Regarding to the tech-stack:
Go, Kubernetes, AWS Kinesis, Firehose, S3, Athena, Lambda