Sap Se

Arpitha A Shetty

Devicharan Vinnakota

Vijaya Pramilamma Bovilla

Unmesh Sreedharan

Amrita Prabhakaran

Rakesh Kelappan

Abhishek Nagendra

Rahul Tiwari

Sukesh Kaul

Srinivas Vinnakota

Swati Krishna Setty

Tanushree Nandy

Sudarshan Pavanje

Veekshitha

Priyanka Kommanapalli

Sohandeep Das

Veekshitha Naveenachandra

Akarsh Malik

Sirisha Dinavahi

Swetha Konduru

Soumya Patil

Sanjay S

A user interface may include one or more visualizations based on queries to a database using query model metadata. Updated metadata of columns of the database may be obtained which may be different from the query model metadata. A set of used columns and a set of unused columns may be determined based on the query model. One or more metadata mismatches may be determined based on a comparison of the query model metadata for the set of used columns and the updated metadata for the set of used columns. The one or more metadata mismatches may be presented in a user interface configured to enable a user to rectify each. One or more selections from the user may be obtained to rectify at least one of the one or more metadata mismatches. The corresponding columns may be deleted or replaced based on the one or more selections.

Database metadata update validation

Embodiments implement efficient localized handling of metadata in connection with the retrieval of data from a remote source. A request including content, is received by a localization engine. In response to the request and based upon the content, only a portion of metadata relevant to the request is initially retrieved from the remote source. Remaining metadata relevant to the query, is only retrieved later according to execution of background jobs. One example relates to language translation in connection with querying of a remote source. Based upon a locale of the user posing the query, only metadata relevant to that particular locale (e.g., Germany) is returned immediately. Metadata relevant to languages of users residing in locales other than the current user (e.g., USA; France), is only returned later according to background jobs. Thus contact with a remote source does not serve as a bottleneck to efficient performance of local activities.

Efficient localized metadata handling

Systems, methods, and techniques for implementing a defined configuration for an application. A request is received to provision an instance of an application for a external entity. A resource identifier is obtained based on the request. A defined configuration of a plurality of defined configurations for the application is identified based on the resource identifier. A set of features is determined that are specified in the defined configuration. The instance of the application is generated having the set of features. A connection is established with an application resource of a plurality of application resources of the application based on the resource identifier. The instance having the set of features is provisioned over one or more networks to the external entity.

Application configuration based on resource identifier

Embodiments allow a tenant to customize a configuration that is used in accessing an application over the cloud. At a provisioning time, a user accesses a tenant Application Program Interface (API) and creates a customized configuration including a payload that defines particular features to be available from the application. Such features can include but are not limited to available buttons, toolbar options, and pages. During a runtime subsequent to the provisioning, an input to the application (such as a URL) is received from the tenant. Logic is executed to determine whether to apply the custom configuration or another configuration (e.g., default or other predefined) from a list. Based upon the configuration, the application renders output to the user according to the particular features. Particular embodiments may recognize a Line of Business (LoB) parameter of a URL input to the application in order to provide a configurations customized by the tenant.

Tenant configuration supporting dynamic application customization

A method for accessing data stored in a database may include receiving a query to generate, based on blended data, a visualization. The blended data may include a first set of data from a first data source and a second set of data from a second data source. The query may also include a payload. The method may also include accessing the first set of data by injecting, into the payload, the first permission, and transmitting, to the first data source, the payload including the first permission. The method may also include accessing the second set of data by injecting, into the payload, the second permission, and transmitting, to the second data source, the payload including the first permission, the first set of data, and the second permission. The method may also include causing, using the blended data, presentation of the visualization. Related systems and articles of manufacture are provided.

Cross LoB blending handling along with permissions

Systems, methods, and computer media for visualizing data are provided herein. The described examples allow one-dimensional data visualizations generated using visualization tools and backend components to be displayed in response to a request to view data that includes one or more sets of Cartesian columns. A data visualization request can specify data for inclusion in a data visualization and properties for the visualization, including transpose factors for data sources. The data sources having transpose factors can be cloned to represent respective combinations of the data source with each transpose factor, and then joined to other cloned or non-cloned data sources to generate the resulting one-dimensional visualization.

Processing cartesian columns in analytics applications

Systems, methods, and techniques for supporting feature customization based on data source capability. A first request is received from an external entity to provision an instance of an application. An application service of a plurality of application services is identified to be implemented to fulfill the first request. A configuration of the application corresponding to the application service is determined. Customization information regarding states of a set of features of the application instance is obtained as a result of determining that a customization is associated with the external entity. A modified configuration is generated for the application based on the customization information and the configuration. An application instance is provisioned to the external entity over the one or more networks having the modified configuration.

Systems and methods for feature support customization based on data source capability

A system includes identification of dimension filters associated with a visualization, identification, from the identified dimension filters, of nested dimension filters associated with a first dimension, generation of a composite filter based on the identified nested dimension filters, transmission of a query to a data source, the query including the composite filter, reception of a result set based on the query from the data source, and display of the visualization presenting the result set on the display.

Optimization of multiple query filters

Various embodiments of systems and methods to render data visualizations in different analytical applications are described herein. In one aspect, a request is received to render at least a portion of data visualization by an analytical application. A visualization type and one or more data attributes are retrieved from metadata corresponding to at least the portion of the data visualization. Further, a supporting visualization type is identified in the analytical application corresponding to the visualization type of at least the portion of the data visualization. The retrieved one or more data attributes are mapped to equivalent one or more data attributes in a data source associated with the analytical application. At least the portion of the data visualization is rendered based on the supporting visualization type and the mapped one or more data attributes in a graphical user interface of the analytical application.

Rendering data visualizations in different analytical applications

A non-transitory computer-readable storage medium may comprise instructions stored thereon. When executed by at least one processor, the instructions may be configured to cause a backend server to at least receive, from an administrator webserver, an extension, store the extension and an associated timestamp in a repository, the associated timestamp indicating a time at which the extension was received from the administrator webserver, receive a request for the extension from a customer webserver, the request for the extension identifying the extension, and in response to receiving the request for the extension, fetch the extension from the repository, and send the extension to the customer webserver.

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Dakshina Kannada, India

Arpitha A Shetty