Managing data dependencies in an n-layer architecture for data loading optimizations

Abstract

There are provided systems and methods for managing data dependencies in an N-layer architecture for data loading optimizations. A service provider, such as an electronic transaction processor for digital transactions, may utilize different decision services that implement rules and/or artificial intelligence models for decision-making of data including data in production computing environment. Decision services may be used for data processing and decision-making, where multiple decision services may be invoked during run-time in order to complete a data processing request. When processing data, data loads may be required by decision services, where multiple data loads that are the same or similar may be utilized by different data services. Thus, the service provider may provide data loading optimization by making these data loads available across multiple decision services. This may be done based on an intelligent and/or algorithmic process based on data storage requirements.