Abstract: An approach for deploying workload in a multi-tenancy computing environment is provided. The approach generates, by one or more computer processors, a tenant ID and a plan ID for a tenant based, at least in part, on a tenant registration request. The approach stores, by one or more computer processors, the tenant ID and the plan ID into a shared system record. The approach receives, by one or more computer processors, a request to update a first tenant service plan. The approach determines, by one or more computer processors, one or more resource pools supporting a second tenant service plan based at least in part, on an association between the tenant ID and the plan ID. The approach deploys, by one or more computer processors, one or more resources from the one or more resource pools supporting the second tenant service plan.

Abstract: An approach for deploying workload in a multi-tenancy computing environment is provided. The approach generates, by one or more computer processors, a tenant ID and a plan ID for a tenant based, at least in part, on a tenant registration request. The approach stores, by one or more computer processors, the tenant ID and the plan ID into a shared system record. The approach receives, by one or more computer processors, a request to update a first tenant service plan. The approach determines, by one or more computer processors, one or more resource pools supporting a second tenant service plan based at least in part, on an association between the tenant ID and the plan ID. The approach deploys, by one or more computer processors, one or more resources from the one or more resource pools supporting the second tenant service plan.

Abstract: An approach for deploying workload in a multi-tenancy computing environment is provided. The approach generates, by one or more computer processors, a tenant ID and a plan ID for a tenant based, at least in part, on a tenant registration request. The approach stores, by one or more computer processors, the tenant ID and the plan ID into a shared system record. The approach receives, by one or more computer processors, a request to update a first tenant service plan. The approach determines, by one or more computer processors, one or more resource pools supporting a second tenant service plan based at least in part, on an association between the tenant ID and the plan ID. The approach deploys, by one or more computer processors, one or more resources from the one or more resource pools supporting the second tenant service plan.

Abstract: An approach for deploying workload in a multi-tenancy computing environment is provided. The approach generates, by one or more computer processors, a tenant ID and a plan ID for a tenant based, at least in part, on a tenant registration request. The approach stores, by one or more computer processors, the tenant ID and the plan ID into a shared system record. The approach receives, by one or more computer processors, a request to update a first tenant service plan. The approach determines, by one or more computer processors, one or more resource pools supporting a second tenant service plan based at least in part, on an association between the tenant ID and the plan ID. The approach deploys, by one or more computer processors, one or more resources from the one or more resource pools supporting the second tenant service plan.

Abstract: Embodiments for methods, systems, and computer program products for creating and managing a portable data rule using an electronic computing device are presented including: causing the electronic computing device to create a rule definition including, defining an expression by a user, where the expression defines a logic of a rule, causing the electronic computing device to parse the expression into a logical variable associated with the expression, causing the electronic computing device to identify the logical variable, and causing the electronic computing device to store the rule definition, where the rule definition includes the expression and the logical variable. In some embodiments, the causing the electronic computing device to identify the logical variable includes: causing the electronic computing device to return a name of the logical variable; and causing the electronic computing device to return an expected type of the logical variable.

Abstract: Techniques are disclosed for cost modeling in a data flow model. In one embodiment, a data flow model is provided that includes multiple data flow objects, each data flow object including one or more data units. Each data flow object represents a respective information asset. Quality and cost components are assigned to each data unit of a first data flow object. A cost property is determined for each data unit of the first data flow object, based on the assigned components. An object cost property is also determined for the first data flow object. The determined cost properties may be used to identify information assets that are more cost-effective to upgrade, relative to other information assets.

Abstract: Embodiments for methods, systems, and computer program products for creating and managing a portable data rule using an electronic computing device are presented including: causing the electronic computing device to create a rule definition including, defining an expression by a user, where the expression defines a logic of a rule, causing the electronic computing device to parse the expression into a logical variable associated with the expression, causing the electronic computing device to identify the logical variable, and causing the electronic computing device to store the rule definition, where the rule definition includes the expression and the logical variable. In some embodiments, the causing the electronic computing device to identify the logical variable includes: causing the electronic computing device to return a name of the logical variable; and causing the electronic computing device to return an expected type of the logical variable.

Abstract: Techniques are disclosed for cost modeling in a data flow model. In one embodiment, a data flow model is provided that includes multiple data flow objects, each data flow object including one or more data units. Each data flow object represents a respective information asset. Quality and cost components are assigned to each data unit of a first data flow object. A cost property is determined for each data unit of the first data flow object, based on the assigned components. An object cost property is also determined for the first data flow object. The determined cost properties may be used to identify information assets that are more cost-effective to upgrade, relative to other information assets.

Abstract: Methods and systems for enterprise data integration are described. The methods and systems take elements of a data integration process typically operating in a batch-mode, transform the elements in real time, and expose the results as a service that can be accessed by a business enterprise in real time, and optionally also in batch mode. The service can be accessed through a graphical user interface, providing automatic data integration in real time without additional coding. The service can also operate with mobile devices.

Abstract: Embodiments for methods, systems, and computer program products for creating and managing a portable data rule using an electronic computing device are presented including: causing the electronic computing device to create a rule definition including, defining an expression by a user, where the expression defines a logic of a rule, causing the electronic computing device to parse the expression into a logical variable associated with the expression, causing the electronic computing device to identify the logical variable, and causing the electronic computing device to store the rule definition, where the rule definition includes the expression and the logical variable. In some embodiments, the causing the electronic computing device to identify the logical variable includes: causing the electronic computing device to return a name of the logical variable; and causing the electronic computing device to return an expected type of the logical variable.

Abstract: Embodiments for methods, systems, and computer program products for creating and managing a portable data rule using an electronic computing device are presented including: causing the electronic computing device to create a rule definition including, defining an expression by a user, where the expression defines a logic of a rule, causing the electronic computing device to parse the expression into a logical variable associated with the expression, causing the electronic computing device to identify the logical variable, and causing the electronic computing device to store the rule definition, where the rule definition includes the expression and the logical variable. In some embodiments, the causing the electronic computing device to identify the logical variable includes: causing the electronic computing device to return a name of the logical variable; and causing the electronic computing device to return an expected type of the logical variable.