Abstract: Systems and methods are disclosed that provide high-level, ontology-based analysis of low-level data stored within an unstructured key/value store. The systems and methods allow an analyst to make sense of massive amounts of data from diverse sources without having any knowledge of the underlying physical data storage. Additional features include feasibility queries to determine if requested data exists in the key/value store before performing an expensive query; automatic query optimization using secondary indexes; and a usage history service to identify performance bottlenecks and fine tune the storage schema.

Abstract: Systems and methods are disclosed that provide high-level, ontology-based analysis of low-level data stored within an unstructured key/value store. The systems and methods allow an analyst to make sense of massive amounts of data from diverse sources without having any knowledge of the underlying physical data storage. Additional features include feasibility queries to determine if requested data exists in the key/value store before performing an expensive query; automatic query optimization using secondary indexes; and a usage history service to identify performance bottlenecks and fine tune the storage schema.