Abstract: Techniques are described for identifying an input training dataset stored within an underlying data platform; and transmitting instructions to the data platform, the instructions being executable by the data platform to train a predictive model based on the input training dataset by delegating one or more data processing operations to a plurality of nodes across the data platform.

Abstract: A method for configuring an algorithm for processing data in a database may include generating a plurality of rules by converting a concrete syntax representation of one or more constraints associated with a parameter of the algorithm into an abstract syntax representation of the constraints. A first input value associated with the first parameter may be received from a client via a user interface at the client. The user interface may be updated based on the first input value. The user interface may be updated by applying a first rule from the plurality of rules. The update to the user interface may include a change to a visibility, a modifiability, and/or an allowed value of a second parameter of the algorithm. Related systems and articles of manufacture, including computer program products, are also provided.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by at least one processing unit of a device. The program receives data associated with a visual presentation that includes several visual elements. The program also identifies a first set of visual elements in the several visual elements having a first type and a second set of visual elements in the several visual elements having a second type. The program further renders the first set of visual elements in a first layer of the visual presentation using a first rendering engine. The program also renders the second set of visual elements in a second layer of the visual presentation using a second rendering engine.

Abstract: A computer-implemented method for disaggregating data in a spreadsheet or other data structure hosted on a client computing device includes providing an analyzer module as a plug-in or add-in to a spreadsheet application on a client computing device. The analyzer module locally performs disaggregation and aggregation processes on data in the spreadsheet on the client computing device. The method includes parsing, by the analyzer module, content entered in a subject cell of the spreadsheet to determine if sets of special syntax characters corresponding to a disaggregation instruction or command precede an amount in the entered content, and accordingly disaggregating or aggregating data in the spreadsheet.

Abstract: A state capture designation for an element of an application within an application design environment may be received, indicating that the application, once deployed, will include a state capture functionality for capturing a state of the element, and a state restoration function for restoring the state of the element. Following deployment of the application within a runtime environment, and in response to an invocation of the state capture functionality, a captured state of the element may be stored. A state restoration request for the captured state may be received by way of the state restoration functionality, and following a re-deployment of the application with an update to the element that was included as part of an update to the application within the application design environment. The captured state may then be restored to the updated element, in response to the state restoration request, and within the runtime environment.

Abstract: A computer-implemented method for generating a plurality of data query suggestions is described. The method includes receiving a textual input in a user interface of a software application implementing a plurality of business processes and determining a query context for the textual input. The method also includes computing a plurality of ranked numerical scores based on the query context in which the ranked numerical scores are computed using information obtained from a plurality of usage metrics associated with the query context and determining, using the plurality of ranked numerical scores, a plurality of candidate data combinations. The method also includes ordering the plurality of candidate data combinations according to the plurality of ranked numerical scores and generating at least one data suggestion using the ordered plurality of candidate data combinations and providing the at least one data suggestion in the user interface.

Abstract: According to some embodiments, a business intelligence language expansion and compilation platform may receive a business intelligence language expression, containing at least one macro sub-expression from a user. Information may then be accessed in a business and data models data store to perform expansion and compilation operations on the received business intelligence language expression. As a result of these operations, the system may provide a native query to a data source database. A business intelligence language result set manager may retrieve data from a data source database responsive to the native query and output a business intelligence language result set to the user in response to the business intelligence language expression.

Abstract: Embodiments visualize large data volumes utilizing initial sampling to reduce size of a dataset. This sampling may be random in nature. The sampled dataset may be refined (wrangled) by binning, grouping, cleansing, and/or other techniques to produce a wrangled sample dataset. A user defines useful end visualization(s) by inputting expected dimension/measures. From these visualizations of sampled data, minimal grouping sets are deduced for application to the full dataset. The user publishes/schedules the wrangled operation and grouping sets definition. Based on this, a wrangled dataset and grouping sets are produced in the big data layer. When the user accesses the visualization(s), minimal grouping sets are retrieved in the in-memory engine of the client and processed by an in-memory database engine according to the common processing plan. This produces result sets and a final set of visualizations of the full dataset, in which the user can recognize valuable data trends and/or relationships.

Abstract: Software program “help” functionality includes features enhancing its relevance to users. An engine may receive/record context data arising from interactions between a user and the software program. The engine may process that context data to reference a plurality of sources (e.g., official help documentation, user blogs, partner web sites, etc.) and harvest relevant help information. Based upon stored context data and help information available from the plurality of sources, certain embodiments may generate suggested questions allowing further exploration of help issues. Some embodiments may offer help information in the form of an interactive “hotspot” focusing upon a specific UI element (e.g., icon). Processing the context data may allow the engine to assign a particular skill level (e.g., novice/intermediate/expert) to individual users, tailoring the help information to that skill level.

Abstract: Software program “help” functionality includes features enhancing its relevance to users. An engine may receive/record context data arising from interactions between a user and the software program. The engine may process that context data to reference a plurality of sources (e.g., official help documentation, user blogs, partner web sites, etc.) and harvest relevant help information. Based upon stored context data and help information available from the plurality of sources, certain embodiments may generate suggested questions allowing further exploration of help issues. Some embodiments may offer help information in the form of an interactive “hotspot” focusing upon a specific UI element (e.g., icon). Processing the context data may allow the engine to assign a particular skill level (e.g., novice/intermediate/expert) to individual users, tailoring the help information to that skill level.

Abstract: Methods, systems, and computer program products for visually representing and displaying data are described. The visual representation may be a data animation. A data query may be submitted, a time measurement for processing the query may be obtained, and a sample size of the query may be adjusted based on the time measurement and a frame refresh rate of a data animation. A data animation may be generated based on one or more results of the query.

Abstract: A plurality of graphical elements may be represented as a document object model (DOM) having a plurality of nodes, each node representing a different graphical element, the DOM having an ordering of the nodes, each node having a z-value of front or back, indicating that the corresponding graphical element is to be displayed in a front layer for a z-value of front or a back layer for a z-value of back. The z-value of one or more of the plurality of nodes corresponding to one or more graphical elements to be moved to the front layer or back layer may be altered. The DOM can then be reordered so that the one or more graphical elements to be moved to the front layer or back layer are at the front or back of the DOM, while maintaining the ordering between nodes having z-values of front and the ordering between nodes having z-values of back.

Abstract: A system includes reception of name data, determination, for each of a plurality of name properties, of an associated property value based on the name data, determination of a gender classification based on the property values, and, for each property value, generation of a substitute property value based on the property associated with the property value and the gender classification.

Abstract: In some example embodiments, a graphical user interface (GUI) is caused to be displayed on a computing device of a user. The GUI can be configured to enable the user to submit an identification of a dataset and at least one configuration parameter. The identification of the data source and the at least one configuration parameter can be received via the GUI on the computing device. A sampling algorithm can be configured based on the at least one configuration parameter. A sample of data from the dataset can be generated using the configured sampling algorithm. The time parameter can limit an execution time of the generating of the sample of data to within a maximum amount of time indicated by the user.

Abstract: Provided are a system and method for semantic generation and enrichment. In one example, the method includes displaying a plurality of tiles on a user interface, each displayed tile visually representing a data entity obtained from a data file, detecting, via the user interface, a selection of a first displayed tile visually representing a first data entity and a second displayed tile visually representing a second data entity, and in response to detecting the selection via the user interface, generating a new data entity based on the first data entity visually represented by the first displayed tile and the second data entity visually represented by the second tile, and displaying a new tile visually representing the newly generated data entity. Accordingly, an end user can provide semantic creation and enrichment to visually displayed data without the need for an administrator.

Abstract: The disclosure generally describes methods, software, and systems, including a method for using and managing ephemeral tables. User inputs associated with a database management system are received from an application. The user inputs are associated with a particular user and a particular application. From an auto-save cache index, one or more ephemeral tables are identified that are associated with the user inputs. The ephemeral tables are mapped to one or more tables in the database management system. Using the user inputs and the auto-save cache index, the one or more ephemeral tables are updated. Information associated with the user inputs is automatically stored on a temporal basis. The information survives database sessions, transaction boundaries, and database management system restarts.

Abstract: A computer-implemented method for initiating, at a user interface, execution of a software application implementing a plurality of business processes associated with a plurality of business objects, and displaying, in the user interface, a query box and a plurality of visualizations depicting data corresponding to at least a portion of the plurality of business objects. The method includes receiving and parsing a free text input, generating and executing a search using a plurality of keyword search queries based on one or more keyword tokens. The method also includes applying grammar rules, generating query trees, and generating a number of search suggestions using the query trees.

Abstract: A technology for building and displaying interaction relationships between visual components of a dashboard is provided. In accordance with one aspect, interaction relationships are defined between the components of the dashboard using a data grid. A relationship may be defined by associating a component to a grid cell and defining a formula in the grid cell based on one or more other grid cells which are further associated to one or more other components. In accordance with another aspect, information of a dashboard including dashboard components, input data and output data in the dashboard is converted into dashboard data models. An interaction relationship graph may be generated based on interactions of the input data and output data of the components. The interaction relationship graph comprises source-to-target relationships between source and target components of the dashboard.

Abstract: A system, computer-readable storage medium including instructions, and a computer-implemented method for manipulating one or more objects in a graphical user interface for a display device is presented. A start of a path selection mode is detected. A first path traversed by a cursor in the graphical user interface is detected, with the first path intersecting one or more objects in a plurality of objects displayed in the graphical user interface of the display device. A curve corresponding to the first path is displayed in the graphical user interface. An end of the path selection mode is detected. A selection state of the one or more objects is updated based on the curve, the selection state including a selected state and a deselected state.

Abstract: In some example embodiments, an indication of a selected data point of a current visualization can be received. A context of the selected data point can be determined based on a dimension of the data point, and explanation candidates can be generated based on the context of the selected data point. Each exploration candidate can have a different dimension context that is within the context of the selected data point and a corresponding value for the dimension context. For each one of the explanation candidates, a corresponding score can be generated based on a difference between the value for the explanation candidate and an average value of all the values of the explanation candidates. The explanation candidates can be ranked based on the scores. At least one of the explanation candidates can be selected based on the ranking, and selectable explanation(s) for the selected explanation candidate(s) can be displayed.