Abstract: A data marketplace infrastructure provides a crowd sourcing solution to development, discovery and publication of decision applications. Applications can be submitted from a user to a data warehouse in association with a data feed. One or more discovery properties are determined with regard to each application. The applications are made available to other client systems in association with the data feed. A relevant data feed and a relevant application can be identified based on satisfaction of a discovery request by the one or more determined discovery properties of the application. The application can be selected and downloaded to the user for evaluation and customization. The customized application can then be submitted to the data warehouse for publication with the other applications associated with the data feed.

Abstract: A data marketplace infrastructure allows a data source company or a third party to associate to a data feed with a customizable preview application having analytic and visual features (e.g., business logic and a user interface). A potential customer can use discovery services of the data marketplace infrastructure to identify one or more data feeds offering sample data in a domain of interest of the potential customer. The data feed can transmit the customizable preview application to allow the potential customer to interact with the data from the data feed before purchasing the data. The potential customer may also customize the preview application so as to change the default application behavior in a manner that improves the potential customer's understanding and appreciation of the data feed.

Abstract: A business intelligence (BI) document preserves references to identities and formats of remote data sources and allows a local computing device to offload analytical operations to remote data sources. The BI document specifies a graph of entities connected by directed edges from the output of one entity to an input of another entity. An entity, for example, can represent without limitation a data structure, an external data source, a control element, an external event source, a visualization, or an update service. The entities of a BI document at a local computing device can reference data at an original data source—rather than extracting data from the original data source to a preferred local datastore. An entity of the BI document can direct a remote data source to execute transformations on the remote data before returning a solution to the local computing device.

Abstract: A data marketplace infrastructure allows a data source company or a third party to associate to a data feed with a customizable preview application having analytic and visual features (e.g., business logic and a user interface). A potential customer can use discovery services of the data marketplace infrastructure to identify one or more data feeds offering sample data in a domain of interest of the potential customer. The data feed can transmit the customizable preview application to allow the potential customer to interact with the data from the data feed before purchasing the data. The potential customer may also customize the preview application so as to change the default application behavior in a manner that improves the potential customer's understanding and appreciation of the data feed.

Abstract: A business intelligence (BI) document preserves references to identities and formats of remote data sources and allows a local computing device to offload analytical operations to remote data sources. The BI document specifies a graph of entities connected by directed edges from the output of one entity to an input of another entity. An entity, for example, can represent without limitation a data structure, an external data source, a control element, an external event source, a visualization, or an update service. The entities of a BI document at a local computing device can reference data at an original data source—rather than extracting data from the original data source to a preferred local datastore. An entity of the BI document can direct a remote data source to execute transformations on the remote data before returning a solution to the local computing device.

Abstract: A data marketplace infrastructure allows a data source company or a third party to automate generation of one or more applications in association a data feed. In contrast to custom, manual development of applications, the data marketplace infrastructure constructs applications that suggest applicability to the data feed. Factors suggesting applicability include without limitation similarity of data structures and similarity of subject matter. Based on an applicability determination, patterns of historical visual usage and patterns of historical business logic usage may be used to identify expressions specifying the visuals and business logic that may be copied to and used in a new application in association with the data feed. Furthermore, previewers can provide feedback to help tune which automatically generated applications are maintained in association with the data feed and which are discarded or altered in some way.

Abstract: A data marketplace infrastructure provides a crowd sourcing solution to development, discovery and publication of decision applications. Applications can be submitted from a user to a data warehouse in association with a data feed. One or more discovery properties are determined with regard to each application. The applications are made available to other client systems in association with the data feed. A relevant data feed and a relevant application can be identified based on satisfaction of a discovery request by the one or more determined discovery properties of the application. The application can be selected and downloaded to the user for evaluation and customization. The customized application can then be submitted to the data warehouse for publication with the other applications associated with the data feed.

Abstract: A data marketplace infrastructure allows a data source company or a third party to associate to a data feed with a customizable preview application having analytic and visual features (e.g., business logic and a user interface). A potential customer can use discovery services of the data marketplace infrastructure to identify one or more data feeds offering sample data in a domain of interest of the potential customer. The data feed can transmit the customizable preview application to allow the potential customer to interact with the data from the data feed before purchasing the data. The potential customer may also customize the preview application so as to change the default application behavior in a manner that improves the potential customer's understanding and appreciation of the data feed.

Abstract: A data marketplace infrastructure provides a crowd sourcing solution to development, discovery and publication of decision applications. Applications can be submitted from a user to a data warehouse in association with a data feed. One or more discovery properties are determined with regard to each application. The applications are made available to other client systems in association with the data feed. A relevant data feed and a relevant application can be identified based on satisfaction of a discovery request by the one or more determined discovery properties of the application. The application can be selected and downloaded to the user for evaluation and customization. The customized application can then be submitted to the data warehouse for publication with the other applications associated with the data feed.

Abstract: A business intelligence (BI) document preserves references to identities and formats of remote data sources and allows a local computing device to offload analytical operations to remote data sources. The BI document specifies a graph of entities connected by directed edges from the output of one entity to an input of another entity. An entity, for example, can represent without limitation a data structure, an external data source, a control element, an external event source, a visualization, or an update service. The entities of a BI document at a local computing device can reference data at an original data source—rather than extracting data from the original data source to a preferred local datastore. An entity of the BI document can direct a remote data source to execute transformations on the remote data before returning a solution to the local computing device.

Abstract: A business intelligence (BI) document preserves references to identities and formats of remote data sources and allows a local computing device to offload analytical operations to remote data sources. The BI document specifies a graph of entities connected by directed edges from the output of one entity to an input of another entity. An entity, for example, can represent without limitation a data structure, an external data source, a control element, an external event source, a visualization, or an update service. The entities of a BI document at a local computing device can reference data at an original data source—rather than extracting data from the original data source to a preferred local datastore. An entity of the BI document can direct a remote data source to execute transformations on the remote data before returning a solution to the local computing device.

Abstract: A data marketplace infrastructure allows a data source company or a third party to associate to a data feed with a customizable preview application having analytic and visual features (e.g., business logic and a user interface). A potential customer can use discovery services of the data marketplace infrastructure to identify one or more data feeds offering sample data in a domain of interest of the potential customer. The data feed can transmit the customizable preview application to allow the potential customer to interact with the data from the data feed before purchasing the data. The potential customer may also customize the preview application so as to change the default application behavior in a manner that improves the potential customer's understanding and appreciation of the data feed.

Abstract: A data marketplace infrastructure provides a crowd sourcing solution to development, discovery and publication of decision applications. Applications can be submitted from a user to a data warehouse in association with a data feed. One or more discovery properties are determined with regard to each application. The applications are made available to other client systems in association with the data feed. A relevant data feed and a relevant application can be identified based on satisfaction of a discovery request by the one or more determined discovery properties of the application. The application can be selected and downloaded to the user for evaluation and customization. The customized application can then be submitted to the data warehouse for publication with the other applications associated with the data feed.

Abstract: A data marketplace infrastructure allows a data source company or a third party to automate generation of one or more applications in association a data feed. In contrast to custom, manual development of applications, the data marketplace infrastructure constructs applications that suggest applicability to the data feed. Factors suggesting applicability include without limitation similarity of data structures and similarity of subject matter. Based on an applicability determination, patterns of historical visual usage and patterns of historical business logic usage may be used to identify expressions specifying the visuals and business logic that may be copied to and used in a new application in association with the data feed. Furthermore, previewers can provide feedback to help tune which automatically generated applications are maintained in association with the data feed and which are discarded or altered in some way.

Abstract: Embodiments are provided to merge, manage, create, and reuse database parts in a computer system. Database parts may include database tables, datatypes, field combinations or entire databases. A selection of a database part is received by a database software application executing on a computer system. The application may be configured to check for metadata associated with the database part to identify an action property. If, after checking for the metadata, a merge action property is identified, then the application may check for a metadata property associated with a database table. If a merge action associated with the database table is identified, then the application may merge the database part with the database table in the database. The application may also be configured to generate a user interface for creating database parts using database tables and for creating a database part by saving a database.

Abstract: Embodiments are provided to merge, manage, create, and reuse database parts in a computer system. Database parts may include database tables, datatypes, field combinations or entire databases. A selection of a database part is received by a database software application executing on a computer system. The application may be configured to check for metadata associated with the database part to identify an action property. If, after checking for the metadata, a merge action property is identified, then the application may check for a metadata property associated with a database table. If a merge action associated with the database table is identified, then the application may merge the database part with the database table in the database. The application may also be configured to generate a user interface for creating database parts using database tables and for creating a database part by saving a database.

Abstract: Methods, systems, and computer-readable media implementing various aspects of complex data in a conceptual table are disclosed which enable complex data in the form of tables to be added to a conceptual table. The complex data can map to scalar values in a plurality of data tables. Complex data may be entered via data modeling methods, accessed via cursoring methods, and queried via query expansion methods.

Abstract: A received reply email document enables some action to be effectuated using data included in the email document responsive to field identifiers associated with the data and corresponding to fields of metadata. The associated field identifiers that correspond to known fields of the metadata provide some expectation as to the semantic meaning and/or syntactic constraints of the data to which the field identifiers are associated. In a described implementation, an actionable email documents module creates an email document having blocks that are mapped to fields of metadata. The email document is transmitted to one or more recipients. Each recipient adds data to the blocks so that the data becomes mapped to the fields of the metadata. The recipients return a reply email document having the field-mapped data. Upon receipt, the module can effectuate some action using the field-mapped data responsive to the mappings.