Part 2: Making the Graph Transition

Armed with what we learned from the previous part around the fundamentals, we can now move on to explain how and why graph databases are different to traditional relational database structures, and how and why you would want to use them. We will be working in MySQL and Python in the data model transformation chapter, which will culminate in building a recommendation engine to recommend a game to a user.

Once we have that chapter in our arsenal, we will move on to delve into how we can build a knowledge graph. This will involve getting our hands dirty with some data ingestion and cleaning, before we then create our knowledge graph and perform community detection over the top, to find medical abstracts that relate to a specific subject, as community detection’s role is to find similar communities in entities, or in this sense, similar research based on a specific abstract text and what terms are mentioned in the text.

This part has the...