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We outline the processes of intelligent creation and utilization of granulated data summaries in the engine aimed at fast approximate execution of analytical SQL statements. We discuss how to use the introduced engine for the purposes of ad-hoc data exploration over large and quickly increasing data collected in a heterogeneous or distributed fashion. We focus on mechanisms that transform input data...
We discuss the usage of the paradigms of rough sets and granular computing in the core components of the Infobright's database engine. Having data stored in the form of compressed blocks of attribute values, our query execution methods utilize compact information about those blocks' contents instead of brute-force data decompression. The paper contains examples of algorithms implemented with the aim...
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