Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: A computer-implemented method includes calculating a first efficiency of a first device connected to a host system when a second device is not connected to the host system. Connection of the second device to the host system is detected. The method further includes calculating a second efficiency of the first device when the second device is connected to the host system. An interference quotient of the first device is calculated, by a computer processor, based on the first efficiency and the second efficiency. A user is warned of interference between the first device and the second device, responsive to the interference quotient being in an unacceptable range.

Abstract: Methods, systems and computer program products for narrative generation using pattern recognition by topic are provided. A method includes identifying a topic from content. The method includes obtaining events associated with the topic from one or more sources. The method includes processing the events. The method includes generating a narrative of the topic using pattern recognition on the events. The method includes transmitting the narrative for presentation to a user.

Abstract: A computer-implemented method includes calculating a first efficiency of a first device connected to a host system when a second device is not connected to the host system. Connection of the second device to the host system is detected. The method further includes calculating a second efficiency of the first device when the second device is connected to the host system. An interference quotient of the first device is calculated, by a computer processor, based on the first efficiency and the second efficiency. A user is warned of interference between the first device and the second device, responsive to the interference quotient being in an unacceptable range.

Abstract: Embodiments include method, systems and computer program products for narrative generation using pattern recognition by topic. In some embodiments, a topic may include identified from content. Events associated with the topic may be obtained from one or more sources. The events may be processed. A narrative of the topic may be generated using pattern recognition on the events. The narrative may be transmitted for presentation to a user.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: Minimizing data security risks may be provided. A number and type of confidential data in a computing environment may be determined to generate a metric for the type of confidential data in the computing environment. The metric of the type of confidential data may be compared to a predetermined metric for the type. Responsive to determining the metric for the type of confidential data exceeding a predetermined metric for the type, an action may be performed to prevent more entries of the type of confidential data in the computing environment.

Abstract: A computer system retrieves from data repositories change information indicating changes to entries. Each data repository is associated with a corresponding interface and at least two data repositories are associated with different interfaces, and at least one data repository lacks tracking of changes to entries stored therein. The change information retrieved from the data repository is stored within a storage unit. The stored information includes identification of each repository entry change without storage of the changed entry. Requests are processed to provide change information for entries within the data repositories, wherein processing the change information request for one of the entries includes retrieving from the storage unit the identification of the repository entry change for the one of the entries. Embodiments of the present invention further include a method and computer program product for tracking changes within data repositories in substantially the same manner described above.

Abstract: A computer system retrieves from data repositories change information indicating changes to entries. Each data repository is associated with a corresponding interface and at least two data repositories are associated with different interfaces, and at least one data repository lacks tracking of changes to entries stored therein. The change information retrieved from the data repository is stored within a storage unit. The stored information includes identification of each repository entry change without storage of the changed entry. Requests are processed to provide change information for entries within the data repositories, wherein processing the change information request for one of the entries includes retrieving from the storage unit the identification of the repository entry change for the one of the entries. Embodiments of the present invention further include a method and computer program product for tracking changes within data repositories in substantially the same manner described above.