Abstract: While interacting with resources such as databases and data sets, a user of an organization may create a usage of a resource that is interesting or has value. The user may publish the usage to a web page and/or notify other users who may be interested in the usage, but the effectiveness of such sharing depends upon the user's volition to share the usage with interested users. Instead, the interaction between the interacting user and the resource may be monitored to detect a usage of the resource that may be interesting to other users of the organization. Interested users may be automatically identified and notified of the resource usage, and may request a replay of the resource usage by the interacting interested user. Usages may also be automatically stored as part of a catalog of resource usages by the interacting user for interested users to browse and replay.

Abstract: Organizations may comprise a variety of resources that are assigned to various organizational units, and allocated for various projects or tasks. A user who wishes to understand the organizational structure of the resources may examine information sources, such as resource manifests and resource access logs, and interpret such information with the user's knowledge of the organization, but may fail to achieve a comprehensive, accurate, and up-to-date understanding of the organization. Instead, interactions among users and resources may be monitored to infer organizational structure; assignment of resources to organizational units; relationships among resources; and usages arising within such resource relationships. Based on such inferences, an interactive visual map may be automatically generated that depicts the arrangement of the organization and the interrelationships of the resources.

Abstract: The resources of an organization may provide various functions and services, and the performance of the resources may be of interest. Performance indicators (e.g., network bandwidth, I/O throughput, and processing capacity) may be measured and logged, and examined in the event of diminished performance in order to identify a non-performing resource. However, because resources may depend on other resources, and to different degrees, the performance of the first resource may be limited by the performance of a related resource, and logging respective resource performance may not inform this determination. An embodiment of the techniques presented herein may evaluate an effect of the performance indicators of a first resource on the performance indicators of related resources (e.g., through historic comparisons or differential testing), and a visual resource map may include a visual indicator of the effect of performance indicators of a first resource on the performance indicators of a related resource.

Abstract: Efficient display of search results. A method includes receiving a query specifying a search object for a dataset. Data items in the dataset are able to be viewed or navigated to in an active region of a user interface. The active region is a portion of a display which is primarily configured for use by a user to view, navigate to for viewing, add, remove or edit the data items in the dataset. The method rearranges data items in the dataset to aggregate together data items of the dataset that include a match for the search object. The method includes providing the rearranged dataset through the active region of the user interface, such that a user can view or navigate to the aggregated data items in the dataset as well as other data items in the dataset.

Abstract: A view of data transformation jobs can be presented by way of a user interface. Related jobs can subsequently be identified automatically after a job is selected based on data dependencies between jobs. Execution status can also be determined and presented such that successful and failed execution of jobs, for example, can be differentiated. Furthermore, selection of a job run that failed to execute successfully can trigger identification of related jobs runs that failed or are predicted to fail to execute successfully.

Abstract: Jobs can be authored in conjunction with a visual workspace. Upon selection of representation of a data source in the workspace, a preview of the data source can be generated within context of the visual workspace. Further, representations of one or more data transformation operations can be provided with the preview. Selection of a transformation operation results in an updated preview reflecting application of the operation as well as generation of backend code to perform the operation. Furthermore, a job comprising one or more transformation operations can be added to the workspace automatically.

Abstract: Jobs can be created within a visual authoring environment. A new job of a selected type can be added to a diagrammatic workspace. Subsequently, a mechanism configured to enable selection of a saved job that implements all or a portion of the job can be presented. After selection, a saved job can be acquired and the workspace updated based thereon. Furthermore, data sources associated with the saved job can be can be added to a data source designated portion of the environment.

Abstract: At least one cue can be generated regarding manipulating representations of data. The cue provides information regarding manipulating a first representation of a first set of data with respect to a second representation of a second set of data based on correlations between the first set of data and the second set of data. Among other things, a cue can identify shift direction and distance, scale factor, and correlation strength.

Abstract: Providing predictive data predicting data values for a historical dataset. The method facilitates improving the accuracy of the predictive data by identifying for a user, and allowing the user to select ancillary datasets that can be evaluated, using a predictive evaluation, together with a historical dataset to improve the accuracy of the predictive data. A user interface is provided to a user. The user interface identifies one or more ancillary datasets. The ancillary datasets are identified to the user based on the ancillary datasets meeting a threshold condition to a historical dataset. The ancillary datasets are selectable by the user in the user interface. User input is received at the user interface selecting one or more of the ancillary datasets. A predictive dataset is displayed to the user. The predictive dataset is determined by predictive evaluation of the historical dataset and the one or more selected ancillary datasets.