Methods and systems for transparent user interface integration between remote (“published”) applications and their local counterparts are described, providing a seamless, unified user experience, and allowing integration of a start menu, dock, taskbar, desktop shortcuts, windows, window and application switching, system tray elements, client-to-host and host-to-client file type association, URL redirection, browser cookie redirection, token redirection, status message interception and redirection, and other elements. These methods and systems further enhance theme-integration between a client and remote desktop or virtual machine by remoting all UI elements to a recipient for generation, including text controls, buttons, progress bars, radio buttons, list boxes, or other elements; presenting them with the receiver's product and OS-specific UI; and returning status back to the sender. This may achieve a more unified and transparent UI integration. Furthermore, international text may be correctly received in cross-language environments, or translated into the language of the presenting environment.

Reverse Seamless Integration Between Local and Remote Computing Environments

Systems and methods for interest-driven data visualization systems in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven data visualization system includes a processor, a memory connected configured to store an interest-driven data visualization application, and metadata storage, wherein the interest-driven data visualization application configures the processor to define reporting data requirements, generate data retrieval job data based on the reporting data requirements, transmit the data retrieval job data, receive aggregate data, create at least one piece of reporting data using the received aggregate data and the reporting data requirements, associate visualization metadata with the reporting data describing the visual appearance of the at least one piece of reporting data, and generate a report using the reporting data requirements and the visualization metadata.

Systems and Methods for Interest-Driven Data Visualization Systems Utilized in Interest-Driven Business Intelligence Systems

A repository stores a metric catalog. The metric catalog represents a slice of multidimensional data source. The metric catalog includes a selected measure, at least one analysis dimension, and at least one fixed dimension. A metric catalog system exposes the metric catalog as a web service. A web service client requests to consume the metric catalog. In response to the request, the metric catalog system parses the metric catalog. Based on the parsed metric catalog, one or more queries are generated and executed. Based on the execution of the queries, values of the selected measure for the at least one analysis dimension are determined. The determined values of the selected measure for the at least one analysis dimension is returned to the web service client.

Metric catalog system

According to an aspect, a database management system (DBMS) is operated to perform data replication. The DBMS includes a source database and a target database. The source database includes a plurality of first tables respectively comprising one or more first columns, and the target database includes a plurality of second tables respectively comprising one or more second columns. Each of multiple ones of the first columns is mapped to one of the second columns, and each one of the second columns is adapted to store replicated data changes of the first column mapped to the second column. Each of the second columns has an assigned update time, the update time being a moment in time when the second column most recently received incremental data changes from its mapped first column. The DBMS operates to process requested database statements while providing data replication.

Data replication in a database management system

Embodiments of the present disclosure may provide a system and method for processing an online transactional processing (OLTP) transaction on a column-based storage of a database. The method may include receiving a request of the OLTP transaction to access data on the column-based storage. A determination may be made whether a cache associated with the database includes column information for the OLTP transaction. If the cache includes the column information for the OLTP transaction, the method may include processing the OLTP transaction with the column information in the cache. If the cache does not include the column information for the OLTP transaction, the method may include selecting columns from the column-based storage of the database.

Column smart mechanism for column based database

In one embodiment the present invention includes a computer implemented method of relating data and generating reports. The method includes storing, by an OLAP system, a network data structure that relates a plurality of data objects. The method further includes storing transactional data in an in-memory database in the OLAP system. The method further includes generating, by the OLAP system, a report using the stored transactional data according to the network data structure. In this manner, deficiencies of the traditional star schema paradigm of data warehousing may be avoided.

Jie Zhao

Papers

System and Method of Relating Data and Generating Reports