Business Objects Software Limited

David Mosimann

Alfred Fung

Ali Moosavi

Jung-Rung Han

Erik Schmidt

Johnson Wong

Saeed Jahankhani

Philipp Ziegler

Wuzhen Xiong

Jonathan Heller

Madison Poon

Jiandong Shi

Ken Wong

Lu Yahui

Greg Golds

Jonathan Tiu

Sebastien Foucault

Marko Udovicic

Embodiments relate to techniques for performing data blending operations across multiple different data sets comprising data structures with columns and rows. The data sets may be classified and displayed in a visualization (i.e., chart) in a client interface. Columns and rows from the blended data sets may be mapped together (i.e., linked). Updates to the visualization, including adding elements from the data sets, may trigger a data blending process on the backend server in communication with a database. The server may blend the specified data by generating a runtime artifact representing a calculation graph for the blend operation and query the database to retrieve a resulting data set. The data blending operation may comprise collapsing dimensions of a primary data set with linked dimensions of a secondary data sets into a blended column and aggregating values of measures in rows of the blended column of the resulting data structure.

System and method for performing blended data operations

In one embodiment, a method receives a query for data in a database system and calls a plurality of engines to analyze information for the query. A calculation graph is generated from at least a portion of the plurality of engines where each of the at least a portion of the plurality of engines add a node to the calculation graph based on analyzing of the information for the query. Then, the method executes the query by calling the nodes of the calculation graph. Each node uses metadata added to the node from a respective calculation engine to perform a calculation for the node. Then, a result of the query is output based on the respective calculations performed by the nodes.

Orchestration of data query processing in a database system

Data blending operations are disclosed configured to blend data from a primary data set and a secondary data set. Primary and secondary data structure models are generated reflecting selected dimensions and measures of the primary and secondary data structure models upon which the data blending operation is to be performed. Each dimension and measure in the primary and secondary data structure models includes a local identifier. Unique global identifiers are assigned to each local identifier of the primary and secondary data structure models. Client queries are generated and communicated to a backend server to perform data blending on the selected dimensions and measures of the primary data set and the secondary data set. The client queries may comprise the global identifiers and mapping information between the global identifiers and local identifiers. The backend system retrieves a resulting data set in response to the data blending operation based on this mapping.

Data source identification mapping in blended data operations

In an example embodiment, a bundle loader is run in response to a communication from an application. The communication may indicate that the plurality of bundles of components in the application is to be executed. The plurality of bundles may include at least one bundle having a component that depends on a dependency component in another of the plurality of bundles. A configuration file indicating a set of the plurality of bundles to load in the bundle loader is received. The bundle loader is operated to load a bundle manifest for each bundle in the set of the plurality of bundles to load. Then, for each of the bundles in the set of plurality of bundles to load, the bundle is activated if no unactivated dependency component exists for any component in the bundle.

Extensibility framework

Various embodiments of systems and methods for providing a set of placement options to a user when a new report object is requested to be placed in an area of the report are described herein. One or more existing report objects are associated with the area of the report. The set of placement options are determined based on at least one of the following: area type of the area in which the new report object is requested to be placed and a semantic relationship between the new report object and the one or more existing report objects. In one embodiment, the area of the report includes a sub-area. The set of placement options for a sub-area is determined based on the semantic relationship of new report objects and the existing report objects associated with the area and the sub-area.

Semantically guided report design

Various embodiments of systems and methods for providing a semantic guidance in a report are described herein. A mismatch is identified between a report object positioned at a location on the report and the area with which the location is associated. The mismatch is identified based on the metadata of the report object and the attribute of the area with which the location is associated. In one embodiment, the identified mismatch is displayed to a user in a tooltip. In one embodiment, if an attribute of an area of the report is changed, the mismatch is identified between the report object present in the area and the changed attribute.

Detection and display of semantic errors in a reporting tool

Growing community of inventors

New Westminster, Canada

David Mosimann