A novel system architecture for online operational analytics

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Database management systems promised not only persistent storage of transactional data but also their fast and timely (ideally real-time) analysis to support business critical applications. However that promise has always been out of reach due to practical constraints in software and hardware. As a result a typical business data infrastructure is divided between a database transactional store, for "live" business data (e.g. sales, leads, and other opportunities) plus an operational data warehouse for analysis and decision-making. The data images in these two datastores are not in sync, typically lagging by weeks or months.