An integrity office wants to explore how vendors, contracts, and employees connect when hunting fraud rings. Which NoSQL type best supports relationship-centric queries?
Select an answer to reveal the explanation.
Short Explanation
Fraud rings are all about who knows whom and which contracts link people. Graph databases treat those connections as first-class citizens. Hopping edges beats joining endless tables by hand.
Full Explanation
Graph databases model entities as nodes and relationships as edges, enabling efficient multi-hop traversals. Investigating vendor–contract–employee fraud rings is fundamentally a relationship query problem. Key-value caches and flat files do not express rich connectivity for exploratory analysis. Selecting a graph store makes civic integrity investigations practical at relationship depth.