Abstract: Methods, systems, and computer-readable media for analyzing a query are disclosed. A particular method includes receiving data representing an event flow associated with execution of a query that includes a plurality of operators. A graph is generated that includes a plurality of nodes that corresponds to operators of the query, and edges of the graph that correspond to streams between operators of the query. The method includes receiving an input identifying a particular node of the graph, where the particular node corresponds to a particular operator of the query. In response to the input, an output associated with at least one event processed by the particular operator is displayed.

Abstract: An analysis module is configured to receive data associated with an event flow. The data is received from a first analysis module (e.g., in a stack of analysis modules) or from the event flow. The analysis module is configured to execute an analysis operation on the data to generate a result. The analysis module can output the result to a second analysis module (e.g., in the stack of analysis modules) or to a user interface.

Abstract: Conversational Super Bots are provided. A SuperBot may utilize a plurality of dialogs to enable conversation between the SuperBot and a user. The SuperBot may switch between topics, keep state information, disambiguate utterances, and learn about the user as the conversation progresses using each of the plurality of dialogs. Users/developers may expose a number of dialogs each specializing in a conversational subject as a part of the SuperBot. The embodiments provide enterprise systems that may handle multiple subjects in one conversation. SuperBot architecture allows dialogs to be added to the SuperBot and managed from the SuperBot. Dialog intelligence delivery via the SuperBot is decoupled from the authoring of the dialogs. Processes that make the SuperBot appear as intelligent and coherent to a user are decoupled from the dialog authoring. Developers may develop dialogs without considerations of language processing. The SuperBot includes components that manage and coordinate the dialogs.

Abstract: Methods, systems, and computer-readable media to generate a user interface (UI) to analyze a complex event processing (CEP) query are disclosed. A particular method includes receiving data representing an event flow associated with execution of a CEP query. The CEP query includes a plurality of operators. A UI including a graph is generated. The graph includes a plurality of nodes. Each node of the graph corresponds to an operator of the CEP query, and each edge of the graph corresponds to a stream between operators of the CEP query. The method includes receiving an input identifying a particular node of the graph, where the particular node corresponds to a particular operator of the CEP query. In response to the input, an operator-specific output associated with at least one event processed by the particular operator is displayed.

Abstract: An analysis module is configured to receive data associated with an event flow. The data is received from a first analysis module (e.g., in a stack of analysis modules) or from the event flow. The analysis module is configured to execute an analysis operation on the data to generate a result. The analysis module can output the result to a second analysis module (e.g., in the stack of analysis modules) or to a user interface.

Abstract: Methods, systems, and computer-readable media to generate a user interface (UI) to analyze a complex event processing (CEP) query are disclosed. A particular method includes receiving data representing an event flow associated with execution of a CEP query. The CEP query includes a plurality of operators. A UI including a graph is generated. The graph includes a plurality of nodes. Each node of the graph corresponds to an operator of the CEP query, and each edge of the graph corresponds to a stream between operators of the CEP query. The method includes receiving an input identifying a particular node of the graph, where the particular node corresponds to a particular operator of the CEP query. In response to the input, an operator-specific output associated with at least one event processed by the particular operator is displayed.

Abstract: An analysis module is configured to receive data associated with an event flow. The data is received from a first analysis module (e.g., in a stack of analysis modules) or from the event flow. The analysis module is configured to execute an analysis operation on the data to generate a result. The analysis module can output the result to a second analysis module (e.g., in the stack of analysis modules) or to a user interface.

Abstract: An analysis module is configured to receive data associated with an event flow. The data is received from a first analysis module (e.g., in a stack of analysis modules) or from the event flow. The analysis module is configured to execute an analysis operation on the data to generate a result. The analysis module can output the result to a second analysis module (e.g., in the stack of analysis modules) or to a user interface.

Abstract: Methods, systems, and computer-readable media to analyze a CEP query are disclosed. A particular analysis module is configured to receive data associated with an event flow generated by execution of a CEP query. The data is received from a first analysis module (e.g., in a stack of analysis modules) or from the event flow via a software communication interface. The analysis module is also configured to execute an analysis operation on the data to generate a result. The analysis module can output the result to a second analysis module (e.g., in the stack of analysis modules) or to a user interface via the software communication interface.

Abstract: The claimed subject matter provides a method for processing a stream of events. The method includes receiving a stream of events at a local device. The stream of events is associated with the local device. Further, the stream of events includes one or more out-of-order events. The method also includes executing a first complex event processing query against the stream of events. The stream of events is processed based on multiple levels of consistency defined by a set of operators. Additionally, the method includes correcting the out-of-order events based on the set of operators. A first output is generated in which consistency is guaranteed based on the corrected out-of-order events. The method also includes sending the first output to a server that performs complex event processing on the output.

Abstract: Methods, systems, and computer-readable media to generate a user interface (UI) to analyze a complex event processing (CEP) query are disclosed. A particular method includes receiving data representing an event flow associated with execution of a CEP query. The CEP query includes a plurality of operators. A UI including a graph is generated. The graph includes a plurality of nodes. Each node of the graph corresponds to an operator of the CEP query, and each edge of the graph corresponds to a stream between operators of the CEP query. The method includes receiving an input identifying a particular node of the graph, where the particular node corresponds to a particular operator of the CEP query. In response to the input, an operator-specific output associated with at least one event processed by the particular operator is displayed.

Abstract: Methods, systems, and computer-readable media to analyze a CEP query are disclosed. A particular analysis module is configured to receive data associated with an event flow generated by execution of a CEP query. The data is received from a first analysis module (e.g., in a stack of analysis modules) or from the event flow via a software communication interface. The analysis module is also configured to execute an analysis operation on the data to generate a result. The analysis module can output the result to a second analysis module (e.g., in the stack of analysis modules) or to a user interface via the software communication interface.