Fourth session: Graph Databases versus SQL for Data Science: Identifying 'Graph-y' Problems in Your Data
Description
A frequent question from data scientists is "why would I want to use a graph database when I can do all of what I need to do in SQL?" In some cases an RDBMS is a fine solution. However, there are many times that your data is a graph, even though it might not be immediately recognizable as such. This course walks through how to identify whether a problem is actually a graph and the benefits of analyzing that way rather than traditional using traditional SQL.
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