Enterprises are building digital products that rely on real-time intelligence, making it crucial to connect, contextualize, and reason over data. Enterprise Knowledge Graphs (EKGs) have emerged as a foundational architecture for addressing this challenge, but scaling them to production-grade digital platforms remains complex.
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This article provides practical strategies for optimizing enterprise knowledge graphs to achieve real-world scalability. It focuses on architectural patterns, operational lessons, and performance insights from large-scale enterprise deployments.
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