From the course: Advanced NoSQL for Data Science

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Prepare data with graph databases

Prepare data with graph databases - NoSQL Tutorial

From the course: Advanced NoSQL for Data Science

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Prepare data with graph databases

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- [Instructor] As you are preparing data for graphs, here are a few things to keep mind. Start by identifying nodes and edges in your graphs. You'll have to load data in a way that separates nodes and edges. This can be somewhat more complicated than loading data into relational databases, but it's not too different. Keep in mind that if you're using a tabular data format, like CSV, then columns can be nodes, edges, or properties. Data files can be organized in a variety of ways. For example, you may find some files that have only nodes, some others that have only edges, and still others that have both nodes and edges. As a general rule, separating nodes and edges can sometimes simplify loading logic. As with any time you load data in a database, you'll want to perform some quality checks. Make sure all nodes have an identifier. This is like having a primary key and helps to keep track of individual entities. Edges may have unique IDs, but they don't have to. We can usually identify…

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