DATABASE AND DATA STRUCTURE MANAGEMENT SYSTEMS FACILITATING DATASET CONSOLIDATION

Abstract: systems and methods facilitate saving data storage through data storage management of storage location(s) by training, via an iterative training and testing loop, a predictive model using training data to detect data redundancies from two or more datasets stored to data storage location(s), the training includes testing the predictive model by predicting a target variable and iteratively adjusting weights and calculations during each subsequent iteration to improve predictability of the target variable, where the predictive model is trained to identify data similarities among the two or more datasets. based on any error in predicting the target variable being less than a predetermined level, the predictive model is deployed and applied to at least two datasets to quantify a percentage of similarity among the at least two datasets. if it is determined the percentage of similarity surpasses a predefined threshold percentage, then an electronic notification is transmitted.

Inventor(s): Tufail Ahmed Khan, Scott Howard Magoon, Pranjal Goswami, Di Hu, Changyong Wei

CPC Classification: G06F16/27 (Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor)

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