Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR EFFICIENT AD-HOC QUERYING OF DISTRIBUTED DATA (“RTC”) provides a platform that, in various embodiments, is configurable to provide fast ad-hoc querying against large volumes of data. In one embodiment, the RTC is configurable to select a subset of fields from raw data in association with a domain and compact the corresponding data. Such packed records may be distributed to one or more worker nodes, which maintain the records and associated indexes. A master server facilitates query processing across the worker nodes.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR EFFICIENT AD-HOC QUERYING OF DISTRIBUTED DATA (“RTC”) provides a platform that, in various embodiments, is configurable to provide fast ad-hoc querying against large volumes of data. In one embodiment, the RTC is configurable to select a subset of fields from raw data in association with a domain and compact the corresponding data. Such packed records may be distributed to one or more worker nodes, which maintain the records and associated indexes. A master server facilitates query processing across the worker nodes.

Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.

Abstract: Metadata can be used for determining or selecting debug points to activate for server software. The metadata can be used for selecting or logically grouping the debug point without requiring the selecting of debug points based upon package boundaries. The metadata can be used by the system to produce a select set of the debug activation information. This debug activation information can be used by a management unit to activate debug points in the server software.

Abstract: Upon an event, diagnostic information about the state of server software can be compiled. The diagnostic information can include information concerning the JDBC subsystem. A timer can be used to inhibit a compilation of a new diagnostic image if the old diagnostic image was recently compiled.

Abstract: Diagnostic Instrumentation system can use diagnostic monitors. The diagnostic monitors can be indicated using instrumentation at class loading time. The diagnostic monitors can have associated diagnostic functions which can be enabled or disenabled while the server software is running.

Abstract: Diagnostic information can be stored and then collected into a large diagnostic image file upon an event, such as a prefailure condition. The diagnostic image can be compressed for emailing to a second site to allow the determination of problems with server software at the server software site.

Abstract: In one embodiment, watch rules can be created for diagnosis information. The watch rules can be examined against the diagnosis information and if there is a match, a notification can be based upon a predetermined notification type.

Abstract: A diagnostic context can be associated with a request and the diagnostic context can be used for determining whether to do diagnosis functions at predetermined points.

Abstract: A diagnostic image can be used to store JDBC subsystem information.

Abstract: Diagnostic Instrumentation system can use diagnostic monitors. The diagnostic monitors can be indicated using instrumentation at class loading time. The diagnostic monitors can have associated diagnostic functions which can be enabled or disenabled while the server software is running.

Abstract: Metadata can be used for determining or selecting debug points to activate for server software. The metadata can be used for selecting or logically grouping the debug point without requiring the selecting of debug points based upon package boundaries. The metadata can be used by the system to produce a select set of the debug activation information. This debug activation information can be used by a management unit to activate debug points in the server software.

Abstract: In one embodiment, watch rules can be created for diagnosis information. The watch rules can be examined against the diagnosis information and if there is a match, a notification can be based upon a predetermined notification type.

Abstract: A diagnostic context can be associated with a request and the diagnostic context can be used for determining whether to do diagnosis functions at predetermined points.

Abstract: Diagnostic information can be stored and then collected into a large diagnostic image file upon an event, such as a prefailure condition. The diagnostic image can be compressed for emailing to a second site to allow the determination of problems with server software at the server software site.