Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method receives a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method generates a task identifier for the data processing task, and provides, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method receives the second data set and metadata from the agent associated with the external system and stores the second data set and associated metadata.

Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method receives a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method generates a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation. The method receives the second data set and metadata from the agent associated with the external system and stores the second data set and associated metadata.

Abstract: Example embodiments describe a method performed by one or more processors. The method may comprise sending over a network, to a software component installed at a remote data source, a request to download data stored at, or in association with, the remote data source, the software component being configured to access performance data at said remote data source. In response to sending the request, the method may comprise receiving from the software component at least an indication of the performance data accessed by said software component, determining whether to proceed with the data download request or to modify the data download request based on the received performance data.

Abstract: Example embodiments describe a method performed by one or more processors. The method may comprise sending over a network, to a software component installed at a remote data source, a request to download data stored at, or in association with, the remote data source, the software component being configured to access performance data at said remote data source. In response to sending the request, the method may comprise receiving from the software component at least an indication of the performance data accessed by said software component, determining whether to proceed with the data download request or to modify the data download request based on the received performance data.

Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method may comprise receiving a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method may also comprise generating a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation.

Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method may comprise receiving a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method may also comprise generating a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation.

Abstract: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

Abstract: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

Abstract: Example embodiments describe a method performed by one or more processors. The method may comprise sending over a network, to a software component installed at a remote data source, a request to download data stored at, or in association with, the remote data source, the software component being configured to access performance data at said remote data source. In response to sending the request, the method may comprise receiving from the software component at least an indication of the performance data accessed by said software component, determining whether to proceed with the data download request or to modify the data download request based on the received performance data.

Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method may comprise receiving a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method may also comprise generating a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation.

Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method may comprise receiving a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method may also comprise generating a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation.

Abstract: An apparatus, and a method, performed by one or more processors are disclosed. The method may comprise receiving a build request associated with performing an external data processing task on a first data set, the first data set being stored in memory associated with a data processing platform to be performed at a system external to the data processing platform. The method may also comprise generating a task identifier for the data processing task, and providing, in association with the task identifier, the first data set to an agent associated with the external system with an indication of the data processing task, the agent being arranged to cause performance of the task at the external system, to receive a second data set resulting from performance of the task, and to provide the second data set and associated metadata indicative of the transformation.

Abstract: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

Abstract: According to certain aspects, a computer system may be configured to aggregate and analyze data from a plurality of data sources. The system may obtain data from a plurality of data sources, each of which can include various types of data, including email data, system logon data, system logoff data, badge swipe data, employee data, job processing data, etc. associated with a plurality of individuals. The system may also transform data from each of the plurality of data sources into a format that is compatible for combining the data from the plurality of data sources. The system can resolve the data from each of the plurality of data sources to unique individuals of the plurality of individuals. The system can also determine an efficiency indicator based at least in part on a comparison of individuals of the unique individuals that have at least one common characteristic.

Abstract: A metadata driven system for supporting business application software required in the middle tier for a line of business applications includes a process metadata module adapted to store a process in metadata format, wherein the process object contains logic related to an entity of the application software. The system allows for persistence of various entities like accounts, incidents, etc., and allows an end user of the business application software to create new types of entities. The system also allows the end user to perform critical business logic operations even on the new entities defined by the end user after the deployment of the business application without requiring recompilation of the business application software. The metadata driven approach allows to easily make changes to business applications and to automate quality assurance of objects built on top of the business applications.

Abstract: Data may be stored and search starting at the child level of data and progressing toward parent data and grandparent data, if needed.

Abstract: A method, system and user interface are disclosed for a query based system to synchronize an offline application with an online application. The queries may be user definable to identify only the limited data that the offline user desires to be updated and data satisfying the queries may be stored in a synchronization file on the online application. Once a synchronization file has been successfully communicated to the offline device, the synchronization file and a status file of the offline application on the online system may be updated to reflect the successful update.

Abstract: A metadata driven system for supporting business application software required in the middle tier for a line of business applications includes a process metadata module adapted to store a process in metadata format, wherein the process object contains logic related to an entity of the application software. The system allows for persistence of various entities like accounts, incidents, etc., and allows an end user of the business application software to create new types of entities. The system also allows the end user to perform critical business logic operations even on the new entities defined by the end user after the deployment of the business application without requiring recompilation of the business application software. The metadata driven approach allows to easily make changes to business applications and to automate quality assurance of objects built on top of the business applications.

Abstract: The claims of the present application recite a method and system for accessing information in an otherwise inaccessible application database of a DBMS using view definitions that implement a security protocol.

Abstract: The method and system of the claims decomposes an organization structure into a set of mapping objects, where each mapping object represents an affiliation between entities of an organization. Each object in the data model is associated with an owner by designating a set of ownership affiliation attributes for each object. A set of privileges is assigned to an affiliation and access is checked based on a user's affiliation to an object and a user's privilege depth. Single privilege checking is performed only as a last resort for special, infrequent situations.