Traditional data storage often hits a wall when faced with deep, interconnected relationships. This episode explores how graph databases solve the problem of traversing complex data paths where relational systems often fail.

Instead of relying on the relational algebra used since 1979, graph databases focus on the "association" of data. They use vertices to represent points and edges to show how they connect. This allows for streamlined analysis of connections with much less code than standard SQL.

• Shifting to an architecture that prioritizes how data points are associated with one another.
• Using structural vertices and edges to map out multi-level relationships.
• Streamlining the discovery of connections through the shortest path algorithm.
• Reducing the coding complexity required to find indirect links bet ...