The goal is to be able to look at a problem and understand whether graphs can help. First, of course, it is important to understand the way that graph databases are designed, how the nodes and edges (or relationships) both become first class items in the database and can be embellished with all sorts of metadata. But the questions are answered and new insights are created from applying graph queries and analytics. Learning to think in graphs means understanding how to use all three of these tactics together to solve a problem.
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