Abstract: An element representing an existing filter can be dragged and dropped into a canvas area. In response to the detection of the dropping of the filter, an input control can be automatically created. The selection of an input control may be based on the type (or dimension) of the filter. Alternatively, an option to create an input control can be presented to the user, wherein only valid input control types for the type of the filter are presented. If a data type of a filter changes such that the type of a corresponding input control is no longer valid, the input control may automatically be modified to a type that is valid for the new data type of the filter.

Abstract: In one embodiment, a method determines a data set stored in a database system and stores a visualization that is generated using the data set. A visual code is generated for the visualization where the visual code includes a link to the stored visualization. The method then outputs the visual code with the data set. A request via the link is received from a mobile device where the request is generated in response to the mobile device capturing the visual code. The method outputs the stored visualization to the mobile device in response to receiving the request.

Abstract: An element representing an existing filter can be dragged and dropped into a canvas area. In response to the detection of the dropping of the filter, an input control can be automatically created. The selection of an input control may be based on the type (or dimension) of the filter. Alternatively, an option to create an input control can be presented to the user, wherein only valid input control types for the type of the filter are presented. If a data type of a filter changes such that the type of a corresponding input control is no longer valid, the input control may automatically be modified to a type that is valid for the new data type of the filter.

Abstract: A technique is described that simplifies the process for applying predictive analysis to a dataset. The technique can recommend multiple templates to a user. Each recommend template contains algorithms which can be applied to the dataset. When a template is selected, the technique can rank the available algorithms of the selected template based on factors such as values in the dataset, characteristics of the dataset, and the usage history of the dataset or the algorithms in prior instances. The technique can automatically select the highest ranked algorithm and apply it to the dataset. In some examples, input parameters used to configure the algorithm can also be automatically selected.

Abstract: In one embodiment, a selection of a process component associated with a process flow is received. Further, a check is made to determine whether a graphical editor includes process components associated with the process flow. If the graphical editor does not include process components, the selected process component is placed on the graphical editor. If the graphical editor includes the process components, then compatibility of the selected process component with at least one of the one or more process components is determined by identifying cardinality and type of the process component. Further, the selected process component is connected to the process flow on the graphical editor based on the determined compatibility.

Abstract: In one embodiment, a method determines a data set stored in a database system and stores a visualization that is generated using the data set. A visual code is generated for the visualization where the visual code includes a link to the stored visualization. The method then outputs the visual code with the data set. A request via the link is received from a mobile device where the request is generated in response to the mobile device capturing the visual code. The method outputs the stored visualization to the mobile device in response to receiving the request.

Abstract: A technique is described that simplifies the process for applying predictive analysis to a dataset. The technique can recommend multiple templates to a user. Each recommend template contains algorithms which can be applied to the dataset. When a template is selected, the technique can rank the available algorithms of the selected template based on factors such as values in the dataset, characteristics of the dataset, and the usage history of the dataset or the algorithms in prior instances. The technique can automatically select the highest ranked algorithm and apply it to the dataset. In some examples, input parameters used to configure the algorithm can also be automatically selected.

Abstract: In one embodiment, a selection of a process component associated with a process flow is received. Further, a check is made to determine whether a graphical editor includes process components associated with the process flow. If the graphical editor does not include process components, the selected process component is placed on the graphical editor. If the graphical editor includes the process components, then compatibility of the selected process component with at least one of the one or more process components is determined by identifying cardinality and type of the process component. Further, the selected process component is connected to the process flow on the graphical editor based on the determined compatibility.