Abstract: A method for analyzing data from a database using an analytic database function includes receiving a selection of measured items from a user, receiving a placement item from the user, and determining a partitioning of the selection of measured items from the placement item. A placement item can be a column, a row, or an axis. A template associated with the analytic database function is adapted to define at least one partitioning relative to the placement item. The template is further adapted to define an ordering parameter for the analytic database function and optionally an aggregation level for the analytic database function. A database query is created with the partitioning. The database query can be an SQL statement.

Abstract: A method for analyzing data from a database using an analytic database function includes receiving a selection of measured items from a user, receiving a placement item from the user, and determining a partitioning of the selection of measured items from the placement item. A placement item can be a column, a row, or an axis. A template associated with the analytic database function is adapted to define at least one partitioning relative to the placement item. The template is further adapted to define an ordering parameter for the analytic database function and optionally an aggregation level for the analytic database function. A database query is created with the partitioning. The database query can be an SQL statement.

Abstract: A method for analyzing data from a database using an analytic database function includes receiving a selection of measured items from a user, receiving a placement item from the user, and determining a partitioning of the selection of measured items from the placement item. A placement item can be a column, a row, or an axis. A template associated with the analytic database function is adapted to define at least one partitioning relative to the placement item. The template is further adapted to define an ordering parameter for the analytic database function and optionally an aggregation level for the analytic database function. A database query is created with the partitioning. The database query can be an SQL statement.

Abstract: Embodiments of the present invention provide an ad-hoc query engine. The ad-hoc query engine comprises a query management module, a metadata module, a data cache module and a viewer module. The query management module receives a query request from a client device. The query request is specified in terms of a plurality of business objects. The query management module utilizes the metadata module to translate the business objects into a structured query language statement as a function of the content of the data cache module. The SQL statement comprises a plurality of aggregation. The query management module dynamically causes each aggregation to be re-directed to execute against the content of the data cache module, when the aggregation is locally or linearly computable from said content of said data cache module. The query management utilizes the viewer module to generate a report as a function of the results of the executed SQL statement.

Abstract: A method for analyzing data from a database using an analytic database function includes receiving a selection of measured items from a user, receiving a placement item from the user, and determining a partitioning of the selection of measured items from the placement item. A placement item can be a column, a row, or an axis. A template associated with the analytic database function is adapted to define at least one partitioning relative to the placement item. The template is further adapted to define an ordering parameter for the analytic database function and optionally an aggregation level for the analytic database function. A database query is created with the partitioning. The database query can be an SQL statement.

Abstract: A method for analyzing data from a database using an analytic database function includes receiving a selection of measured items from a user, receiving a placement item from the user, and determining a partitioning of the selection of measured items from the placement item. A placement item can be a column, a row, or an axis. A template associated with the analytic database function is adapted to define at least one partitioning relative to the placement item. The template is further adapted to define an ordering parameter for the analytic database function and optionally an aggregation level for the analytic database function. A database query is created with the partitioning. The database query can be an SQL statement.