Abstract: A data analysis system is provided that enables users to perform complex data analyses based upon data that may be spread across multiple data sources. The data analysis system is configured to generate a combined query that is capable of extracting data from the multiple data sources. The user may provide analysis information describing the analysis the user desires to perform on the extracted data. In response, the data analysis system is further configured to automatically augment the combined query with program or code to implement the user-specified analysis. Execution of the augmented or modified combined query generates an analysis result set resulting from performing the user-specified analysis. The data analysis system provides a flexible and easy-to-use platform for a user, even a non-technical user, to perform complex data analyses using data stored in multiple different data sources.

Abstract: Techniques for counting event changes with archived relations are provided. In some examples, a query that identifies at least a data object may be identified. Additionally, the query may be evaluated against historical data associated with the data object. Additionally, in some instances, a listening service may be registered with the data object. Further, the query may be evaluated based at least in part on the data object and the historical data.

Abstract: Techniques for managing real-time business event analysis and monitoring are provided. In some examples, a logical request may be received at a business intelligence server configured with a continuous query service. Additionally, the continuous query service may be configured to translate the logical request into a physical request. Further, business intelligence information may be provided based at least in part on querying against an event data stream with a continuous query configured based at least in part on the physical request translated by the continuous query service.