Abstract: Embodiments are directed towards providing dynamic recommendations of reserving information technology resources over time that may be visually displayed over that time. In one embodiment, the recommendations may be determined based on an analysis of actual usage data obtained over a prior time period and used to predict future resource demands. The subject innovations enable a user to dynamically perform various ‘what-if’ analysis to determine optimum purchase times, and configurations. In some embodiments, the user is further provided information about currently purchased resource under-utilizations to enable the user to redistribute work, release resources, or take other actions directed towards improving management of their IT budget.

Abstract: A computer method, system and apparatus control access to secured data in a plurality of databases. A repository is coupled to the databases and has a security runtime subsystem. The repository intercepts a user query of a subject database in the plurality. The security runtime subsystem determines from the intercepted query a user and corresponding user role. Based on user role, the security runtime subsystem automatically modifies the user query to filter out secure data for which the identified user is unauthorized to access but are part of the user query.

Abstract: In a method of controlling access to secured data, a repository operatively coupled to one or more databases storing secure data is employed to intercept a user query of one database of the one or more databases. A user who generated the user query and a user role assigned to the user is automatically determined from the intercepted query. The intercepted query is parsed. Security information of the identified objects is looked up in a metamodel stored in the one or more databases. Based on the determined user role and the identified objects to be filtered out of the user query, an expression tree to filter out secure data is automatically built and the user query is modified by appending the expression tree to the user query. The modified query is applied to the one database.

Abstract: A distributed event system for a relational database is disclosed. An event data model operatively describes a target database. For a subject entity in the target database, the event data model declares and defines triggering events and respective corresponding operations. An event engine monitors database queries and events involving the subject entity and determines from the event data model corresponding operations. Execution of the determined corresponding operations is distributed to network-based agents. Agents may be filtered based on skills and/or credentials injected at runtime. Code binaries of the operations are downloaded to the agents for execution.

Abstract: A distributed event system for a relational database is disclosed. An event data model operatively describes a target database. For a subject entity in the target database, the event data model declares and defines triggering events and respective corresponding operations. An event engine monitors database queries and events involving the subject entity and determines from the event data model corresponding operations. Execution of the determined corresponding operations is distributed to network-based agents. Agents may be filtered based on skills and/or credentials injected at runtime. Code binaries of the operations are downloaded to the agents for execution.

Abstract: In a method of controlling access to secured data, a repository operatively coupled to one or more databases storing secure data is employed to intercept a user query of one database of the one or more databases. A user who generated the user query and a user role assigned to the user is automatically determined from the intercepted query. The intercepted query is parsed. Security information of the identified objects is looked up in a metamodel stored in the one or more databases. Based on the determined user role and the identified objects to be filtered out of the user query, an expression tree to filter out secure data is automatically built and the user query is modified by appending the expression tree to the user query. The modified query is applied to the one database.

Abstract: A computer method, system and apparatus control access to secured data in a plurality of databases. A repository is coupled to the databases and has a security runtime subsystem. The repository intercepts a user query of a subject database in the plurality. The security runtime subsystem determines from the intercepted query a user and corresponding user role. Based on user role, the security runtime subsystem automatically modifies the user query to filter out secure data for which the identified user is unauthorized to access but are part of the user query.

Abstract: Embodiments are directed towards providing dynamic recommendations of reserving information technology resources over time that may be visually displayed over that time. In one embodiment, the recommendations may be determined based on an analysis of actual usage data obtained over a prior time period and used to predict future resource demands. The subject innovations enable a user to dynamically perform various ‘what-if’ analysis to determine optimum purchase times, and configurations. In some embodiments, the user is further provided information about currently purchased resource under-utilizations to enable the user to redistribute work, release resources, or take other actions directed towards improving management of their IT budget.

Abstract: Embodiments are directed towards providing dynamic recommendations of reserving information technology resources over time that may be visually displayed over that time. In one embodiment, the recommendations may be determined based on an analysis of actual usage data obtained over a prior time period and used to predict future resource demands. The subject innovations enable a user to dynamically perform various ‘what-if’ analysis to determine optimum purchase times, and configurations. In some embodiments, the user is further provided information about currently purchased resource under-utilizations to enable the user to redistribute work, release resources, or take other actions directed towards improving management of their IT budget.

Abstract: A distributed event system for a relational database is disclosed. An event data model operatively describes a target database. For a subject entity in the target database, the event data model declares and defines triggering events and respective corresponding operations. An event engine monitors database queries and events involving the subject entity and determines from the event data model corresponding operations. Execution of the determined corresponding operations is distributed to network-based agents. Agents may be filtered based on skills and/or credentials injected at runtime. Code binaries of the operations are downloaded to the agents for execution.

Abstract: A computer method, system and apparatus control access to secured data in a plurality of databases. A repository is coupled to the databases and has a security runtime subsystem. The repository intercepts a user query of a subject database in the plurality. The security runtime subsystem determines from the intercepted query a user and corresponding user role. Based on user role, the security runtime subsystem automatically modifies the user query to filter out secure data for which the identified user is unauthorized to access but are part of the user query.

Abstract: A computer method, system and apparatus control access to secured data in a plurality of databases. A repository is coupled to the databases and has a security runtime subsystem. The repository intercepts a user query of a subject database in the plurality. The security runtime subsystem determines from the intercepted query a user and corresponding user role. Based on user role, the security runtime subsystem automatically modifies the user query to filter out secure data for which the identified user is unauthorized to access but are part of the user query.

Abstract: A distributed event system for a relational database is disclosed. An event data model operatively describes a target database. For a subject entity in the target database, the event data model declares and defines triggering events and respective corresponding operations. An event engine monitors database queries and events involving the subject entity and determines from the event data model corresponding operations. Execution of the determined corresponding operations is distributed to network-based agents. Agents may be filtered based on skills and/or credentials injected at runtime. Code binaries of the operations are downloaded to the agents for execution.