Abstract: Embodiments of systems and methods for the centralized configuration of distributed heterogeneous services is disclosed herein. Embodiments of such systems and methods may be utilized to configure one or more service instances executing in an enterprise computing environment where each of the set of service instance is one of a set of service types that may be different. These services may, for example, be off-cloud services associated with a cloud based computing platform.

Abstract: Systems and methods for data reporting using a data aggregator and a data retrieval tool such as a file intelligence service. The data aggregator stores two sets of data reporting tables and designates a first one of the sets of tables as an active set and the second one of the sets as a non-active set. The active set of tables stores data corresponding to a most recently successfully completed search. The non-active set stores data retrieved by the data retrieval tool from disparate data sources according to current search. The data in the active set of tables is immediately available for use in requested reports. When the data aggregator completes the current search, it designates the non-active set of tables as the active set so that the data therein becomes available for use in requested reports.

Abstract: Embodiments of systems and methods for the centralized configuration of distributed heterogeneous services is disclosed herein. Embodiments of such systems and methods may be utilized to configure one or more service instances executing in an enterprise computing environment where each of the set of service instance is one of a set of service types that may be different. These services may, for example, be off-cloud services associated with a cloud based computing platform.

Abstract: Systems and methods for data reporting using a data aggregator and a data retrieval tool such as a file intelligence service. The data aggregator stores two sets of data reporting tables and designates a first one of the sets of tables as an active set and the second one of the sets as a non-active set. The active set of tables stores data corresponding to a most recently successfully completed search. The non-active set stores data retrieved by the data retrieval tool from disparate data sources according to current search. The data in the active set of tables is immediately available for use in requested reports. When the data aggregator completes the current search, it designates the non-active set of tables as the active set so that the data therein becomes available for use in requested reports.

Abstract: A federated compliance management system operating in a cloud computing environment imports a repository-specific retention policy from a source information system operating in an enterprise computing environment and converts, using a policy mapping definition, the repository-specific retention policy into a federated retention policy. The policy mapping definition contains attribute mappings for federated attributes common across a plurality of information systems of disparate types, repository-specific attributes that are specific to an information system, and, where applicable, phase-common attributes that are common for all phases of an information system as well as phase-repository-specific attributes that are configured for a specific phase. The federated retention policy is stored in the cloud computing environment for use by the federated compliance management system, for instance, as a base policy for creating a repository-specific retention policy for a target system.

Abstract: A federated compliance management system operating in a cloud computing environment imports a repository-specific retention policy from a source information system operating in an enterprise computing environment and converts, using a policy mapping definition, the repository-specific retention policy into a federated retention policy. The policy mapping definition contains attribute mappings for federated attributes common across a plurality of information systems of disparate types, repository-specific attributes that are specific to an information system, and, where applicable, phase-common attributes that are common for all phases of an information system as well as phase-repository-specific attributes that are configured for a specific phase. The federated retention policy is stored in the cloud computing environment for use by the federated compliance management system, for instance, as a base policy for creating a repository-specific retention policy for a target system.

Abstract: Embodiments of systems and methods for the centralized configuration of distributed heterogeneous services is disclosed herein. Embodiments of such systems and methods may be utilized to configure one or more service instances executing in an enterprise computing environment where each of the set of service instance is one of a set of service types that may be different. These services may, for example, be off-cloud services associated with a cloud based computing platform.

Abstract: Systems and methods for data reporting using a data aggregator and a data retrieval tool such as a file intelligence service. The data aggregator stores two sets of data reporting tables and designates a first one of the sets of tables as an active set and the second one of the sets as a non-active set. The active set of tables stores data corresponding to a most recently successfully completed search. The non-active set stores data retrieved by the data retrieval tool from disparate data sources according to current search. The data in the active set of tables is immediately available for use in requested reports. When the data aggregator completes the current search, it designates the non-active set of tables as the active set so that the data therein becomes available for use in requested reports.