Abstract: A method, a system, and a computer program product for generating and using contextual and adaptable parameters for monitoring of various processes. A plurality of standard parameters for use during execution of a computing process by a computing system are received. At least one standard parameter in the plurality of standard parameters is modified in accordance with one or more contextual features associated with the execution of the computing process. The computing process is executed by the computing system using a combination of at least one standard parameter in the plurality of standard parameters and the at least one modified parameter.

Abstract: In one aspect, a method is described that includes receiving, at a data warehouse, a query associated with a view for a report being presented at a client device user interface; processing, by the data warehouse, the query to identify data responsive to the query; evaluating the identified responsive data to determine whether there is corresponding metadata indicating a portion of the identified responsive data includes blocked natural persons data; when the blocked natural persons data is determined, evaluating the corresponding metadata to determine whether the block is a total block or a partial block; generating, based on the evaluated metadata, a result set including a predetermined value to mask the blocked natural persons data; and providing the generated result set including the predetermined result set to a server handling the view. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: A method, a system, and a computer program product for generating and using contextual and adaptable parameters for monitoring of various processes. A plurality of standard parameters for use during execution of a computing process by a computing system are received. At least one standard parameter in the plurality of standard parameters is modified in accordance with one or more contextual features associated with the execution of the computing process. The computing process is executed by the computing system using a combination of at least one standard parameter in the plurality of standard parameters and the at least one modified parameter.

Abstract: In one aspect, a method is described that includes receiving, at a data warehouse, a query associated with a view for a report being presented at a client device user interface; processing, by the data warehouse, the query to identify data responsive to the query; evaluating the identified responsive data to determine whether there is corresponding metadata indicating a portion of the identified responsive data includes blocked natural persons data; when the blocked natural persons data is determined, evaluating the corresponding metadata to determine whether the block is a total block or a partial block; generating, based on the evaluated metadata, a result set including a predetermined value to mask the blocked natural persons data; and providing the generated result set including the predetermined result set to a server handling the view. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Systems, methods, and computer programmable products are described for automated data source join proposals based on process relations. Data encapsulating a first data source and one or more data fields within the first data source is received. A data object model of the first data source is generated based on the one or more fields. A plurality of data sources are searched for the one or more data fields to identify a second data source having one or more related fields. A technical relationship is defined between the first data source and the second data source based on the one or more data fields. A join condition is determined between the first data source and the second data source based on the defined technical relationship. The join condition is provided for confirmation of joining the one or more fields of the first data source and the second data source.

Abstract: Example embodiments of a two-model user interface system are described. In an example embodiment, first information of a user interface model is presented via a user interface, the first information of the user interface model based on data available at a data processing system. User input indicating a selected portion of the first information is received via the user interface. A communication model is updated to include the selected portion of the first information, and the user interface model is updated to include an indication of the selected portion of the first information. The selected portion of the first information is communicated from the communication model to the data processing system based on the updating of the communication model.

Abstract: A system, method, and computer-readable medium, including receiving a request to create a job chain, the job chain being a data structure and to reference a plurality of simple jobs; specifying the plurality of simple jobs referenced by the job chain, each of the simple jobs including at least one attribute defining an executable task for the simple job; specifying an order of execution for the plurality of simple jobs referenced by the job chain; and generating an instance of the job chain data structure, the generated job chain referencing the plurality of simple jobs and inheriting the at least one attribute of each of the plurality of simple jobs.

Abstract: Example embodiments of a user interface system employing nested data are described. In an example embodiment, first data items of a first data source available for selection is presented via a user interface, the first data items including an association with a second data source. A first user selection of the association with the second data source is received via the user interface. In response to the first user selection, second data items of the second data source available for selection are presented via the user interface. A second user selection of a data item of the second data items is received via the user interface. In response to the second user selection, an indication of the selected data item of the second data items is presented.

Abstract: Example embodiments of compatibility checking for user interface customization are described. In an example embodiment, a first user interface view including first data items is accessed, each of the first data items referencing a corresponding data item of a data source. Whether the first user interface view is referenced by a second user interface view is determined. Based on the first user interface view not being referenced by a second user interface view, changes to any of the first data items of the first user interface view are allowed during a design time of the first user interface view. Based on the first user interface view being referenced by the second user interface view, one or more of the first data items of the first user interface view being referenced by the second user interface view are identified, and changes to the identified data items are prevented.

Abstract: Example embodiments of a two-model user interface system are described. In an example embodiment, first information of a user interface model is presented via a user interface, the first information of the user interface model based on data available at a data processing system. User input indicating a selected portion of the first information is received via the user interface. A communication model is updated to include the selected portion of the first information, and the user interface model is updated to include an indication of the selected portion of the first information. The selected portion of the first information is communicated from the communication model to the data processing system based on the updating of the communication model.

Abstract: Example embodiments of a user interface system employing nested data are described. In an example embodiment, first data items of a first data source available for selection is presented via a user interface, the first data items including an association with a second data source. A first user selection of the association with the second data source is received via the user interface. In response to the first user selection, second data items of the second data source available for selection are presented via the user interface. A second user selection of a data item of the second data items is received via the user interface. In response to the second user selection, an indication of the selected data item of the second data items is presented.

Abstract: Example embodiments of compatibility checking for user interface customization are described. In an example embodiment, a first user interface view including first data items is accessed, each of the first data items referencing a corresponding data item of a data source. Whether the first user interface view is referenced by a second user interface view is determined. Based on the first user interface view not being referenced by a second user interface view, changes to any of the first data items of the first user interface view are allowed during a design time of the first user interface view. Based on the first user interface view being referenced by the second user interface view, one or more of the first data items of the first user interface view being referenced by the second user interface view are identified, and changes to the identified data items are prevented.

Abstract: A system, method, and computer-readable medium, including receiving a request to create a job chain, the job chain being a data structure and to reference a plurality of simple jobs; specifying the plurality of simple jobs referenced by the job chain, each of the simple jobs including at least one attribute defining an executable task for the simple job; specifying an order of execution for the plurality of simple jobs referenced by the job chain; and generating an instance of the job chain data structure, the generated job chain referencing the plurality of simple jobs and inheriting the at least one attribute of each of the plurality of simple jobs.

Abstract: A multi-dimensional analytical view (MDAV) calculation can be enhanced by use of an in-memory MDAV runtime at a search engine server. The in-memory MDAV runtime can perform all or some of the processing required to respond to a data request that requires some analytical processing.

Abstract: A multi-dimensional analytical view (MDAV) calculation can be enhanced by use of an in-memory MDAV runtime at a search engine server. The in-memory MDAV runtime can perform all or some of the processing required to respond to a data request that requires some analytical processing.

Abstract: During an online analytical processing session, actions can be presented for performance on transactional data underlying the session. Actions can be filtered to those valid for a particular context. Other features, such as acquisition of parameters for the actions can be supported.

Abstract: Identifying an operation that is critical to meeting a due date of a production order includes identifying operations associated with the production order, obtaining schedules for the operations using infinite production planning, obtaining start intervals for the operations based on the schedules, selecting a target operation from the operations, and determining whether the target operation is critical to meeting the due date based on whether the target operation can be scheduled, using finite production planning, in a start interval obtained for the target operation.

Abstract: Identifying an operation that is critical to meeting a due date of a production order includes identifying operations associated with the production order, obtaining schedules for the operations using infinite production planning, obtaining start intervals for the operations based on the schedules, selecting a target operation from the operations, and determining whether the target operation is critical to meeting the due date based on whether the target operation can be scheduled, using finite production planning, in a start interval obtained for the target operation.