A Data Model for Heterogeneous Data Integration Architecture

Modern approaches to data analysis often require an intense integration of data from multiple data sources. The gap between utilized data models and schemata of pulled data require a significant effort to unify and deliver a clean view of an integrated data grid. This paper includes a discussion of a data model that challenges the most severe problems of data integration. The discussion includes most common issues in the area of data integration like horizontal, vertical and mixed fragmentation, replication or integrated data storage sparsity. The proposed data model is aimed to be used as a integral part of a polyglot data linkup entity as a central part of integrated environment.