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SYSTEMS AND METHODS FOR DISPARATE DATA SOURCE AGGREGATION, SELF-ADJUSTING DATA MODEL AND API
SYSTEMS AND METHODS FOR DISPARATE DATA SOURCE AGGREGATION, SELF-ADJUSTING DATA MODEL AND API
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机译:分布式数据源聚集,自调整数据模型和API的系统和方法
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摘要
A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.
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