Abstract: Techniques are described relating to automated deployment of an application in a managed services domain of a cloud computing environment. One or more of such techniques may minimize human interaction or intervention during deployment of the application. An associated method includes receiving from a client system a request to deploy the application in a target environment and analyzing the request via a machine learning knowledge model. Additionally, the method includes requesting from the client system access to the target environment and, upon receiving access to the target environment, validating the target environment through inspection. Upon validating the target environment, the method further includes facilitating presentation of an application deployment plan through an interface of the client system.

Abstract: Techniques are described relating to automated deployment of an application in a managed services domain of a cloud computing environment. One or more of such techniques may minimize human interaction or intervention during deployment of the application. An associated method includes receiving from a client system a request to deploy the application in a target environment and analyzing the request via a machine learning knowledge model. Additionally, the method includes requesting from the client system access to the target environment and, upon receiving access to the target environment, validating the target environment through inspection. Upon validating the target environment, the method further includes facilitating presentation of an application deployment plan through an interface of the client system.

Abstract: Provided are techniques for determining trustworthiness of data. Each customer record is assigned a single customer view identifier in a master data management repository. Linkages are used to determine one or more suspect records for each customer record. A score is assigned to each customer record based on the linkages to the one or more suspect records, tag information associated with each customer record, and configuration information. A heat map is generated to provide an indication of trustworthiness of the multiple records based on the reputation score associated with the origin of each record.

Abstract: Provided are techniques for determining trustworthiness of data. Each customer record is assigned a single customer view identifier in a master data management repository. Linkages are used to determine one or more suspect records for each customer record. A score is assigned to each customer record based on the linkages to the one or more suspect records, tag information associated with each customer record, and configuration information. A heat map is generated to provide an indication of trustworthiness of the multiple records based on the reputation score associated with the origin of each record.

Abstract: A method for data management. The method includes a computer selecting a first data record and a second data record. The computer determines whether the first data record and the second data record share a deterministic matching category. Responsive to determining the first data record does not share a deterministic matching category with the second data record, the computer determines whether the first data record and the second data record share a probabilistic matching category.

Abstract: A method for data management. The method includes a computer selecting a first data record and a second data record. The computer determines whether the first data record and the second data record share a deterministic matching category. Responsive to determining the first data record does not share a deterministic matching category with the second data record, the computer determines whether the first data record and the second data record share a probabilistic matching category.

Abstract: A method for data management. The method includes a computer selecting a first data record and a second data record. The computer determines whether the first data record and the second data record share a deterministic matching category. Responsive to determining the first data record does not share a deterministic matching category with the second data record, the computer determines whether the first data record and the second data record share a probabilistic matching category.

Abstract: A method for data management. The method includes a computer selecting a first data record and a second data record. The computer determines whether the first data record and the second data record share a deterministic matching category. Responsive to determining the first data record does not share a deterministic matching category with the second data record, the computer determines whether the first data record and the second data record share a probabilistic matching category.

Abstract: Management of data records corresponding to duplicate entities is provided, in which multiple data records are collapsed into a master data record for an entity. Attributes of the multiple data records which are to be included in the master data record for the entity are determined and a source data record is selected from the multiple data records to become the master data record. At least one remaining data record is a candidate data record to be collapsed into the master data record. The selected source data record is updated with the determined attributes to form the master data record. The selected source data record remains active in its database and becomes the master data record in response to the updating, and the at least one candidate data record is deactivated.

Abstract: A method, system and computer program product is provided achieving database sharing by providing an interface to contribute a database and a set of resources to a resource pool in a first cloud environment. The interface further allowing a user to input parameters identifying a database, a set of resources, a set of authorization credentials, and a sharing policy. The interface further comprising responsive to the user using the interface and providing the interface parameters which identify the database, the set of resources, the set of authorization credentials, and the sharing policy, adding the database, the set of resources, the set of authorization credentials, and the sharing policy to the database resource pool in the cloud environment, sharing the database, the set of resources, according to the sharing policy, and utilizing the set of authorization credentials.

Abstract: Management of data records corresponding to duplicate entities is provided, in which multiple data records are collapsed into a master data record for an entity. Attributes of the multiple data records which are to be included in the master data record for the entity are determined and a source data record is selected from the multiple data records to become the master data record. At least one remaining data record is a candidate data record to be collapsed into the master data record. The selected source data record is updated with the determined attributes to form the master data record. The selected source data record remains active in its database and becomes the master data record in response to the updating, and the at least one candidate data record is deactivated.

Abstract: A method, system and computer program product is provided achieving database sharing by providing an interface to contribute a database and a set of resources to a resource pool in a first cloud environment. The interface further allowing a user to input parameters identifying a database, a set of resources, a set of authorization credentials, and a sharing policy. The interface further comprising responsive to the user using the interface and providing the interface parameters which identify the database, the set of resources, the set of authorization credentials, and the sharing policy, adding the database, the set of resources, the set of authorization credentials, and the sharing policy to the database resource pool in the cloud environment, sharing the database, the set of resources, according to the sharing policy, and utilizing the set of authorization credentials.

Abstract: A method, computer program product, and system for sharing cloud data resources among associated users. Upon receipt of a request from an associate of a primary user to share a cloud data resource, a sharing profile of the primary user is evaluated to determine if the associate is permitted to share the requested resource, and if so, the requested resource is made available to the associate. The shared cloud data resource can be a database application, data object, data storage resource, or a portion thereof.

Abstract: A computer-implemented method for reminding a user to browse a regularly visited website comprising tracking websites visited by the user and ranking each website by visitation frequency and browsing duration. An average recurring time each website is visited is calculated and it is determined whether the current time is equal to the average recurring time for a particular website. The user is reminded to visit the particular website if it is determined that the user is not currently browsing the particular website when the current time equals the average recurring time for the particular website.

Abstract: The present disclosure is directed to a method for allowing a user to configure shortcut keys to a specific application.