Graph Engineering designs, builds, and maintains large-scale data graphs—network structures that map relationships between diverse data points. It powers recommendation engines, fraud detection, and knowledge graphs by optimizing query performance and data integration. Data scientists, software architects, and AI developers benefit most, using it to unlock hidden insights and enable real-time, context-aware decision-making across complex systems.
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