In this session, Siraj Munir and Rimsha Imran will dive into the topic of graph data modeling. Often, when we import data, we lose semantics i.e., relationships. Even when they are created, we are unable to use them due to a wrong data import query or wrong data model. In this talk, we will take an example from an anti-money laundering dataset we created synthetically for research and development and discuss when things could go wrong in your data import journey and what steps to take to avoid such issues. I will present the overview and best practices, and Rimsha will be assisting me and the audience with a hands-on example.
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