Abstract: Techniques that enable a third party to author and add functionality to a target application. A third party may create or author a script that encodes the functionality to be added to the target application. The script may then be provided to and executed by the target application, where execution of the script causes the functionality to be added to the target application. In certain embodiments, the added functionality may be in the form of effects that are output via the target application when the script is executed by the target application. The effects may include audio-visual effects that are displayed or output by the target application and may also include displaying data provided by a third party.

Abstract: Techniques that enable a third party to author and add functionality to a target application. A third party may create or author a script that encodes the functionality to be added to the target application. The script may then be provided to and executed by the target application, where execution of the script causes the functionality to be added to the target application. In certain embodiments, the added functionality may be in the form of effects that are output via the target application when the script is executed by the target application. The effects may include audio-visual effects that are displayed or output by the target application and may also include displaying data provided by a third party.

Abstract: Data stored in relational databases can be retrieved using a relational database query language, while data stored in a multidimensional database is typically retrieved using a multidimensional database query language. However, most users do not have a functional working knowledge of multidimensional database query languages, which leaves large amounts of data inaccessible. Further, while some relational database query languages may be translated into a multidimensional database language, the information generated by such translations is often unusable, or returns large numbers of errors. In order to obtain effective translation of a relational database query language to a multidimensional database query language effective translation and filtering needs to occur. Using effective mapping and retrieval of database metadata along with effective, customizable business logic filtering of query components, more effective and reliable results may be achieved.

Abstract: Dependencies among components may be pre-calculated, validated and cached. The cached dependencies may then be used in an execution environment to inject dependencies into the component. In one example, components for a web application are submitted to the operator of the application. Dependencies among the components may be pre-calculated, and the pre-calculated dependencies may be stored in a catalog. When a client accesses the web application, the components may be downloaded to the client along with the catalog. The client may provide a virtual machine or other execution environment under which the components execute. The execution environment may provide a dependency injection feature that connects components together at runtime based on the pre-calculated dependencies in the catalog.

Abstract: Data stored in relational databases can be retrieved using a relational database query language, while data stored in a multidimensional database is typically retrieved using a multidimensional database query language. However, most users do not have a functional working knowledge of multidimensional database query languages, which leaves large amounts of data inaccessible. Further, while some relational database query languages may be translated into a multidimensional database language, the information generated by such translations is often unusable, or returns large numbers of errors. In order to obtain effective translation of a relational database query language to a multidimensional database query language effective translation and filtering needs to occur. Using effective mapping and retrieval of database metadata along with effective, customizable business logic filtering of query components, more effective and reliable results may be achieved.