Abstract: Some embodiments provide a program that generates a first query for a first visualization based on a first query model associated with the first visualization. The first query model includes a first reference to a shared object. The program further sends the first query to a computing system. The program also receives from the computing system a first set of data. The program further generates the first visualization based on the first set of data. The program also generates a second query for a second visualization based on a second query model associated with the second visualization. The second query model includes a second reference to the shared object. The program further sends the second query to the computing system. The program also receives from the computing system a second set of data. The program further generates the second visualization based on the second set of data.

Abstract: Some embodiments provide a program that generates a first query for a first visualization based on a first query model associated with the first visualization. The first query model includes a first reference to a shared object. The program further sends the first query to a computing system. The program also receives from the computing system a first set of data. The program further generates the first visualization based on the first set of data. The program also generates a second query for a second visualization based on a second query model associated with the second visualization. The second query model includes a second reference to the shared object. The program further sends the second query to the computing system. The program also receives from the computing system a second set of data. The program further generates the second visualization based on the second set of data.

Abstract: A system includes reception of a filter on a first dimension of a first data model, determination of an association between a second dimension of the first data model and a first dimension of a second data model, generation of a calculated dimension based on the second dimension, the rows of the calculated dimension being identical to the rows of the first dimension, application of the filter to the rows of the calculated dimension to generate filtered rows of the calculated dimension, execution of an inner join between the filtered rows of the calculated dimension and a fact table of the second data model to generate a result table including one or more measure values of the second data model, and generation of a visualization including the result table.

Abstract: Some embodiments provide execution of a query on a target data model which is filtered on a measure of a source data model, even if the source data model and the target data model are not logically linked. Some embodiments further support execution of a query on a target data model which is filtered on a measure of a source data model and on a dimension filter of another data model. Some embodiments provide for a substantial amount of query execution to occur on the backend, thereby freeing client resources in comparison to prior approaches.

Abstract: Some embodiments provide execution of a query on a target data model which is filtered on a measure of a source data model, even if the source data model and the target data model are not logically linked. Some embodiments further support execution of a query on a target data model which is filtered on a measure of a source data model and on a dimension filter of another data model. Some embodiments provide for a substantial amount of query execution to occur on the backend, thereby freeing client resources in comparison to prior approaches.

Abstract: A system includes reception of a filter on a first dimension of a first data model, determination of an association between a second dimension of the first data model and a first dimension of a second data model, generation of a calculated dimension based on the second dimension, the rows of the calculated dimension being identical to the rows of the first dimension, application of the filter to the rows of the calculated dimension to generate filtered rows of the calculated dimension, execution of an inner join between the filtered rows of the calculated dimension and a fact table of the second data model to generate a result table including one or more measure values of the second data model, and generation of a visualization including the result table.