Abstract: A method for providing a real time view of heterogeneous enterprise data of operational systems includes capturing streams of operational events in real time, combining the events with contextual data, and materializing a resulting view. The resulting view includes a dynamically defined view of the stream of events and provides visibility into a current state of the operational system. A view snapshot is continuously incrementally updated by a view maintenance engine as a stream of rows. The views are used to evaluate a business rule. An alert is fired when a business rule holds true. To enable the view in a view engine, a SQL string characterizing the view is parsed into a parse tree, which is normalized to form a query graph. The query graph is then optimized to obtain a query plan, which is compiled into an operator graph. Queries are executed based upon the operator graph.

Abstract: A method for providing a real time view of heterogeneous enterprise data of operational systems includes capturing streams of operational events in real time, combining the events with contextual data, and materializing a resulting view. The resulting view includes a dynamically defined view of the stream of events and provides visibility into a current state of the operational system. A view snapshot is continuously incrementally updated by a view maintenance engine as a stream of rows. The views are used to evaluate a business rule. An alert is fired when a business rule holds true. To enable the view in a view engine, a SQL string characterising the view is parsed into a parse tree, which is normalized to form a query graph. The query graph is then optimized to obtain a query plan, which is compiled into an operator graph. Queries are executed based upon the operator graph.

Abstract: A method for providing a real time view of heterogeneous enterprise data of operational systems includes capturing streams of operational events in real time, combining the events with contextual data, and materializing a resulting view. The resulting view includes a dynamically defined view of the stream of events and provides visibility into a current state of the operational system. A view snapshot is continuously incrementally updated by a view maintenance engine as a stream of rows. The views are used to evaluate a business rule. An alert is fired when a business rule holds true. To enable the view in a view engine, a SQL string characterizing the view is parsed into a parse tree, which is normalized to form a query graph. The query graph is then optimized to obtain a query plan, which is compiled into an operator graph. Queries are executed based upon the operator graph.

Abstract: A method for performing real-time analytics using a business rules engine on real time heterogeneous materialized data views is disclosed. The method comprises processing of rows produced by views corresponding to events. The rows are processed according to business rules by a view engine. Views with conditions equivalent to rule conditions are subscribed to by a rule engine, which outputs action messages corresponding to the rule condition. Where the rule condition is satisfied, a statement to that effect is sent, with any available reportlets, to an alert engine. The alert engine handles alert states corresponding to the action statement, saves any corresponding reportlets, and generates a message to fire an alert to a notification engine. The notification engine formats the alert and sends the alert by a selected medium, such as email, a webservice call, or another network protocol.

Abstract: A method for providing a real time view of heterogeneous enterprise data of operational systems includes capturing streams of operational events in real time, combining the events with contextual data, and materializing a resulting view. The resulting view includes a dynamically defined view of the stream of events and provides visibility into a current state of the operational system. A view snapshot is continuously incrementally updated by a view maintenance engine as a stream of rows. The views are used to evaluate a business rule. An alert is fired when a business rule holds true. To enable the view in a view engine, a SQL string characterizing the view is parsed into a parse tree, which is normalized to form a query graph. The query graph is then optimized to obtain a query plan, which is compiled into an operator graph. Queries are executed based upon the operator graph.

Abstract: A method for providing a real time view of heterogeneous enterprise data of operational systems includes capturing streams of operational events in real time, combining the events with contextual data, and materializing a resulting view. The resulting view includes a dynamically defined view of the stream of events and provides visibility into a current state of the operational system. A view snapshot is continuously incrementally updated by a view maintenance engine as a stream of rows. The views are used to evaluate a business rule. An alert is fired when a business rule holds true. To enable the view in a view engine, a SQL string characterizing the view is parsed into a parse tree, which is normalized to form a query graph. The query graph is then optimized to obtain a query plan, which is compiled into an operator graph. Queries are executed based upon the operator graph.

Abstract: A method for performing real-time analytics using a business rules engine on real time heterogeneous materialized data views is disclosed. The method comprises processing of rows produced by views corresponding to events. The rows are processed according to business rules by a view engine. Views with conditions equivalent to rule conditions are subscribed to by a rule engine, which outputs action messages corresponding to the rule condition. Where the rule condition is satisfied, a statement to that effect is sent, with any available reportlets, to an alert engine. The alert engine handles alert states corresponding to the action statement, saves any corresponding reportlets, and generates a message to fire an alert to a notification engine. The notification engine formats the alert and sends the alert by a selected medium, such as email, a webservice call, or another network protocol.

Abstract: A method for performing real-time analytics using a business rules engine on real time heterogeneous materialized data views is disclosed. The method comprises processing of rows produced by views corresponding to events. The rows are processed according to business rules by a view engine. Views with conditions equivalent to rule conditions are subscribed to by a rule engine, which outputs action messages corresponding to the rule condition. Where the rule condition is satisfied, a statement to that effect is sent, with any available reportlets, to an alert engine. The alert engine handles alert states corresponding to the action statement, saves any corresponding reportlets, and generates a message to fire an alert to a notification engine. The notification engine formats the alert and sends the alert by a selected medium, such as email, a webservice call, or another network protocol.