Abstract: Example methods, apparatuses, and systems are disclosed for ingesting and consuming data utilizing a trading partner manager. In one example embodiment, an example computing device receives user input comprising a set of data fabric configurations. The computing device then receives, into a data landing zone and based on the data fabric configurations, a data set from a data source. The computing device then ingests, based on the data fabric configurations, the received data set from the data landing zone into a data lake. The computing device then enriches, based on the data fabric configurations, the ingested data set. The computing device then enables data consumption of the ingested data set by the user.

Abstract: There is a need for solutions that perform cross-asset data modeling in a multi-asset database. This need can be addressed by, for example, receiving a request for an execution plan for a merger of a first data entity and a second data entity in the database; determining, based at least in part on a traversal graph of the database, possible paths for the execution plan, wherein each possible path is associated with an ordered combination of path relationships in the database; determining a cost for each possible path based at least in part on at least one of a strength measure associated with each path relationship for the possible path, a traversal cost measure for each path relationship for the possible path, and an experiential usage measure for the possible path; and selecting a recommended path based at least in part on each cost for a possible path.

Abstract: Example methods, apparatuses, and systems are disclosed for ingesting and consuming data utilizing a trading partner manager. In one example embodiment, an example computing device receives user input comprising a set of data fabric configurations. The computing device then receives, into a data landing zone and based on the data fabric configurations, a data set from a data source. The computing device then ingests, based on the data fabric configurations, the received data set from the data landing zone into a data lake. The computing device then enriches, based on the data fabric configurations, the ingested data set. The computing device then enables data consumption of the ingested data set by the user.

Abstract: There is a need for solutions that perform cross-asset data modeling in a multi-asset database. This need can be addressed by, for example, receiving a request for an execution plan for a merger of a first data entity and a second data entity in the database; determining, based at least in part on a traversal graph of the database, possible paths for the execution plan, wherein each possible path is associated with an ordered combination of path relationships in the database; determining a cost for each possible path based at least in part on at least one of a strength measure associated with each path relationship for the possible path, a traversal cost measure for each path relationship for the possible path, and an experiential usage measure for the possible path; and selecting a recommended path based at least in part on each cost for a possible path.

Abstract: Provided herein is a vehicle instrument cluster consolidation system. The consolidated instrument cluster includes a vehicle based data processing system communicatively coupled with a display module. The display module can include multiple windows to display a plurality of menu items. The vehicle based data processing system communicatively can couple with the display module, input devices, and sliders to interact with the menu items provided within the multiple windows. The vehicle based data processing system can receive a motion input indicating a direction to relocate the plurality of menu items within the multiple windows. The vehicle based data processing system to, responsive to the motion input, relocate a first menu item from the center window to a second offset window and relocate a second menu item from a first offset window to the center window.

Abstract: Provided herein is a consolidated vehicle information cluster. The information cluster can include a vehicle based data processing system in a vehicle having a search module and a prediction module. The information cluster can include a search interface provided within a first display of a display module. The search interface can obtain a first input and can identify a first data file and a second data file. The prediction module can generate, from the first data file, a first data structure and, from the second data file, a second data structure. The vehicle based data processing system can provide a first output corresponding to the first data structure and a second output corresponding to the second data structure for concurrent display by the search interface. The search interface can receive a user selection of the second output corresponding to the second data structure.

Abstract: Provided herein is a consolidated vehicle information system or information cluster. The information cluster can include a vehicle based data processing system to generate a plurality of predictive content items corresponding to a user of a vehicle. The information cluster can include a predictive interface having a plurality of displays to display predictive content items. The vehicle based data processing system can arrange the plurality of predictive content items within the plurality of displays based on relevance scores assigned to the predictive content items. The vehicle based data processing system can receive a first input corresponding to a first predictive content item and identify a first application corresponding to the first predictive content item. The vehicle based data processing system can generate updated relevance scores and modify the arrangement of the predictive content items within the displays based on the updated second relevance scores.

Abstract: Provided herein is a consolidated vehicle navigation and information interface for a vehicle. The consolidated interface can include a vehicle based data processing unit coupled with a display module and a navigation application to provide a consolidated interface. The consolidated interface can consolidate a plurality of displays for different systems of the vehicle within the display module. The consolidated interface can include at least one display dedicated to providing the navigation application and a map. The navigation application can provide a plurality of points of interest within the map and receive an input corresponding to an interaction with at least one point of interest. The navigation application can generate a request identifying a third party application corresponding to the point of interest. The request can include a function for the third party application corresponding to a service, product, or data corresponding to the third party application, for example.