Understanding Graph Databases
Michael explains the evolution of graph databases, tracing their roots back to Euler's work in graph theory. He highlights how these databases excel in storing and retrieving graph-structured data, allowing for complex operations like pathfinding and recommendations. Unlike traditional databases, graph databases offer a flexible data model that evolves with the application, enabling developers to adapt without rigid schema constraints.In this clip
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Episode 194: Michael Hunger on Graph Databases
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