Abstract: A computer-implemented method comprising receiving a user request. The method analyzes the data in a plurality of data sets to find inconsistent mappings. Data of data sets, such as columns formed by a join condition, are compared to determine matching or non-matching distinct characteristic values. A composite data set is generated based on the comparison. Another data set is compared with the composite data set, and the composite data set is enhanced. Each data set is compared in sequence, if the composite data set is not empty, until all data sets are analyzed. A result set is generated based on the matching or non-matching distinct characteristic values. The method may also determine if a join operates as a data filter. The operations that are used for analysis may include ‘count distinct’, ‘intersection’ and ‘Boolean operators’.

Abstract: According to some embodiments, a method and system including a first technology stack to receive a model description describing defining aspects of an application model; to generate, according to the model description, a model entity representation of the application model; and to transfer the model description to a second technology stack; and a second technology stack to generate, according to the model description, a model entity representation of the application model.

Abstract: According to some embodiments, a method and system including a first technology stack to receive a model description describing defining aspects of an application model; to generate, according to the model description, a model entity representation of the application model; and to transfer the model description to a second technology stack; and a second technology stack to generate, according to the model description, a model entity representation of the application model.

Abstract: In one embodiment, a computer-implemented method comprising receiving a user request. The method analyzes the data in a plurality of data sets to find inconsistent mappings. Data of data sets, such as columns formed by a join condition, are compared to determine matching or non-matching distinct characteristic values. A composite data set is generated based on the comparison. Another data set is compared with the composite data set, and the composite data set is enhanced. Each data set is compared in sequence, if the composite data set is not empty, until all data sets are analyzed. A result set is generated based on the matching or non-matching distinct characteristic values. The method may also determine if a join operates as a data filter. The operations that are used for analysis may include ‘count distinct’, ‘intersection’ and ‘Boolean operators’.

Abstract: A system, method and article for handling ambiguous joins among a plurality of tables based on a query are disclosed. Metadata associated with the plurality tables is generated. The metadata comprises ambiguous join dimensions and special measures, where the ambiguous join dimensions provide a list of all dimensions used in conditions of the query that are ambiguous, and the special measures provide a list of measures that are affected by the ambiguous join dimensions. Data is aggregated in the plurality of tables according to an aggregation level expressed in the query and based on the metadata.

Abstract: A system, method and article for handling ambiguous joins among a plurality of tables based on a query are disclosed. Metadata associated with the plurality tables is generated. The metadata comprises ambiguous join dimensions and special measures, where the ambiguous join dimensions provide a list of all dimensions used in conditions of the query that are ambiguous, and the special measures provide a list of measures that are affected by the ambiguous join dimensions. Data is aggregated in the plurality of tables according to an aggregation level expressed in the query and based on the metadata.

Abstract: A system, method and computer program product for linking multidimensional data sources in a relational database using database joins are disclosed. Attributes from a join query are filtered. The attributes include characteristics and restrictions of the join query. A subset of the attributes that are relevant to the multidimensional data source are extracted. A partial join query is generated from the extracted subset of the attributes. The partial join query includes characteristics and restrictions that are relevant to the multidimensional data source. It makes use of aggregated data defined for the multidimensional data source if appropriate.

Abstract: Systems and techniques for handling potentially ambiguous joins. In one aspect, an article includes a machine-readable medium storing instructions operable to cause one or more machines to perform operations. The operations include receiving a query that includes an ambiguous join of at least two data tables in a relational database, reducing a number of join partners in at least one of the at least two data tables by locally aggregating first data on a first side of the ambiguous join, and joining the locally aggregated first data and second data from the second side of the ambiguous join on a join condition in the ambiguous join. The ambiguous join identifies fewer fields than necessary to define a unique key between the data tables and the unidentified fields are omitted from any global unique restriction in the query.

Abstract: A system, method and computer program product for linking multidimensional data sources in a relational database using database joins are disclosed. Attributes from a join query are filtered. The attributes include characteristics and restrictions of the join query. A subset of the attributes that are relevant to the multidimensional data source are extracted. A partial join query is generated from the extracted subset of the attributes. The partial join query includes characteristics and restrictions that are relevant to the multidimensional data source. It makes use of aggregated data defined for the multidimensional data source if appropriate.

Abstract: A method and system for linking the contents of two or more at least partially time-independent tables in a multidimensional data source are disclosed. A join operation is generated for the two or more at least partially time-independent tables. The join operation includes a query instruction that is executable on the multidimensional data source, and the query instruction has at least one time attribute. A pseudo time dependency between the two or more at least partially time-independent tables is determined. A time interval for the join operation is generated based on the pseudo time dependency. The join operation is then executed using the time interval as the at least one time attribute.