From the course: Vector, Graph, and DynamoDB

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Graph databases

Graph databases

From the course: Vector, Graph, and DynamoDB

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Graph databases

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- [Instructor] These are five key points to discover when you're thinking about a graph database. This is a Neptune database from Amazon, and you can see here that you have these relationships between these different cities, and this is a network tool that allows you to discover hidden patterns, like communities, or do recommendations or shortest path, et cetera. So if we look through some of the characteristics here that are most important, first up, we have storage data in a graph format. So this graph structure has nodes, it has edges, and it has properties. So you can do different kinds of descriptive statistics that are not available with traditional data. For example, centrality, for example, would be a great example. What is the most central component of this particular structure? Or what is the shortest path, or what is the page rank? Which is one of the algorithms that has typically been used for search engines. Next step, we have optimized for highly interconnected data and…

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