DESIGNING A METADATA-DRIVEN GENERIC SEARCH FRAMEWORK FOR SCALABLE INSURANCE PLATFORMS
Abstract
In this research we design a scalable insurance platform search framework based on metadata. The solution increases discovery efficiency and system scalability with the help of metadata decoupling, dynamic UI generation and predictive caching. Using simulations, these achieve a great latency, precision, and throughput while providing a robust modernization path for modern insurance data infrastructure.
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