Abstract: Aggregation in a computing system can include receiving, at a service node of the computing system, a first query specifying aggregation and translating the first query into a second query having a first canonical format and specifying the aggregation. The method can include forwarding the second query to a first subset of a plurality of endpoint nodes and translating, at each endpoint node of the first subset, the second query into a third query having a format executable by a data source connected to the endpoint node. The third query can specify a level of the aggregation to be performed by the data source determined based upon a processing capability of the data source. The endpoint nodes can initiate execution of the third query by the data sources and provide an aggregated result including a result from the data source(s) to the service node.

Abstract: Aggregation in a computing system can include receiving, at a service node of the computing system, a first query specifying aggregation and translating the first query into a second query having a first canonical format and specifying the aggregation. The method can include forwarding the second query to a first subset of a plurality of endpoint nodes and translating, at each endpoint node of the first subset, the second query into a third query having a format executable by a data source connected to the endpoint node. The third query can specify a level of the aggregation to be performed by the data source determined based upon a processing capability of the data source. The endpoint nodes can initiate execution of the third query by the data sources and provide an aggregated result including a result from the data source(s) to the service node.

Abstract: Aggregation in a computing system can include receiving, at a service node of the computing system, a first query specifying aggregation and translating the first query into a second query having a first canonical format and specifying the aggregation. The method can include forwarding the second query to a first subset of a plurality of endpoint nodes and translating, at each endpoint node of the first subset, the second query into a third query having a format executable by a data source connected to the endpoint node. The third query can specify a level of the aggregation to be performed by the data source determined based upon a processing capability of the data source. The endpoint nodes can initiate execution of the third query by the data sources and provide an aggregated result including a result from the data source(s) to the service node.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: Table discovery in a distributed and dynamic computing system can include detecting an event of a type indicating an update to a data source of a selected node of a plurality of nodes of a computing system, in response to the event, generating, within the selected node, a first collaborative trigger having a query identifier correlated with the type of the event, and distributing the first collaborative trigger through other ones of the plurality of the nodes of the computing system so that the first collaborative trigger reaches an actor of the computing system. Table discovery further can include, in response to receiving the first collaborative trigger within the actor, generating, within the actor, a query for table definition information. The query may be implemented as an aggregation query and may be distributed through the plurality of the nodes.

Abstract: Table discovery in a distributed and dynamic computing system can include detecting an event of a type indicating an update to a data source of a selected node of a plurality of nodes of a computing system, in response to the event, generating, within the selected node, a first collaborative trigger having a query identifier correlated with the type of the event, and distributing the first collaborative trigger through other ones of the plurality of the nodes of the computing system so that the first collaborative trigger reaches an actor of the computing system. Table discovery further can include, in response to receiving the first collaborative trigger within the actor, generating, within the actor, a query for table definition information. The query may be implemented as an aggregation query and may be distributed through the plurality of the nodes.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: A method, computer program product, and a system where a processor(s) obtains, from a client, permission to access computing device(s) utilized by the client to monitor the client and interact with the client and an identification of each interface of the device(s). The processor(s) obtains a computer-initiated interaction, from a host communicatively coupled to the processor(s), requesting delivery to the client and a response from the client. The processor(s) monitors, via the accessing the computing device(s), activities performed by the client. The processor(s) determines a real-time environmental context of the client at a point in time of receiving the computer-initiated interaction. The processor(s) cognitively analyzes data and metadata of the computer-initiated interaction to determine attributes. The processor(s) designates an interface of a computing device to receive the delivery and to obtain the response.

Abstract: Table discovery in a distributed and dynamic computing system can include detecting an event of a type indicating an update to a data source of a selected node of a plurality of nodes of a computing system, in response to the event, generating, within the selected node, a first collaborative trigger having a query identifier correlated with the type of the event, and distributing the first collaborative trigger through other ones of the plurality of the nodes of the computing system so that the first collaborative trigger reaches an actor of the computing system. Table discovery further can include, in response to receiving the first collaborative trigger within the actor, generating, within the actor, a query for table definition information. The query may be implemented as an aggregation query and may be distributed through the plurality of the nodes.

Abstract: Table discovery in a distributed and dynamic computing system can include detecting an event of a type indicating an update to a data source of a selected node of a plurality of nodes of a computing system, in response to the event, generating, within the selected node, a first collaborative trigger having a query identifier correlated with the type of the event, and distributing the first collaborative trigger through other ones of the plurality of the nodes of the computing system so that the first collaborative trigger reaches an actor of the computing system. Table discovery further can include, in response to receiving the first collaborative trigger within the actor, generating, within the actor, a query for table definition information. The query may be implemented as an aggregation query and may be distributed through the plurality of the nodes.

Abstract: Aggregation in a computing system can include receiving, at a service node of the computing system, a first query specifying aggregation and translating the first query into a second query having a first canonical format and specifying the aggregation. The method can include forwarding the second query to a first subset of a plurality of endpoint nodes and translating, at each endpoint node of the first subset, the second query into a third query having a format executable by a data source connected to the endpoint node. The third query can specify a level of the aggregation to be performed by the data source determined based upon a processing capability of the data source. The endpoint nodes can initiate execution of the third query by the data sources and provide an aggregated result including a result from the data source(s) to the service node.