Abstract: Systems, methods, and software for developing application usage information are provided herein. An exemplary method includes identifying data sources that relate to application usage activity of one or more users, determining activity signals related to at least data analysis by the one or more users from among the application usage activity, and applying the activity signals to a knowledge graphing service that infers data analysis preferences from among the activity signals. The method also includes providing ones of the data analysis preferences for use by data insight services that establish data insight objects visualizing target datasets based at least on the ones of the data analysis preferences.

Abstract: Systems, methods, and software for data visualization frameworks are provided herein. An exemplary method includes identifying a target dataset from which to determine data insights for presentation in an insight interface to the user application. The method includes determining data insight candidates for the target dataset based at least on usage modalities associated with processing one or more past datasets, and establishing content of the data insight candidates according to at least the target dataset and the usage modalities, where the content of each of the data insight candidates includes at least one insight object described by object metadata that indicates at least a processing lineage used to produce the at least one insight object.

Abstract: Systems, methods, and software for data visualization frameworks are provided herein. An exemplary method includes identifying a target dataset from which to determine data insights for presentation in an insight interface to the user application. The method includes determining data insight candidates for the target dataset based at least on usage modalities associated with processing one or more past datasets, and establishing content of the data insight candidates according to at least the target dataset and the usage modalities, where the content of each of the data insight candidates includes at least one insight object described by object metadata that indicates at least a processing lineage used to produce the at least one insight object.

Abstract: Systems, methods, and software for developing application usage information are provided herein. An exemplary method includes identifying data sources that relate to application usage activity of one or more users, determining activity signals related to at least data analysis by the one or more users from among the application usage activity, and applying the activity signals to a knowledge graphing service that infers data analysis preferences from among the activity signals. The method also includes providing ones of the data analysis preferences for use by data insight services that establish data insight objects visualizing target datasets based at least on the ones of the data analysis preferences.

Abstract: A system that can facilitate automatic determination of relationships/patterns corresponding to data and appropriate mappings therewith is provided. One key concept is to employ idle time resources available when a computer is not being utilized to discover these relationships. In another aspect, the system can trigger relationship discovery in accordance with a predefined schedule. In other words, a user can specify when they would like the discovery to occur (e.g., time-based). The novel mapping components can employ different algorithms (e.g., heuristics, machine learning) to discover relationships between the sources and targets (e.g., destinations). When relationships and/or patterns are discovered, the system can notify a user to get confirmation that the mappings can be persisted. A tool or UI can be employed by a user to access and control flow of this information. As well, a repository (e.g., relationship repository) can be employed to store the information.

Abstract: The deployment of packages and their dependents is provided. In an illustrative implementation, an interface operates to expose the components of a package and to determine the dependencies of the components. In operation, a scan is performed on the package components to identify those elements on which the components depend. The result of the scan is a list of dependencies for the components found in the package to be deployed. The exemplary interface further operates to aggregate and merge all of the components and their dependencies of a package for deployment. Once deployed, the interface is executed in the newly deployed environment to expand the package and place the components and their dependencies in the new environment. Using the dependencies determined as part of package assembly and deployment, the interface ensures that the components are properly situated and are operating properly.