Abstract: Methods, systems, and computer-readable storage media for exposing relationships between universe objects. In some implementations, actions include identifying a universe, the universe including objects at an abstracted layer, automatically processing the objects of the abstracted layer to provide one or more link groups, each link group including a plurality of objects that have some relation to one another, and outputting the one or more link groups.

Abstract: Business groups are created to secure business entities of a BI data model. In one aspect, a user to be secured is selected and a business group of the BI model is retrieved. Based on the business group, access to a business entity of the BI model is secured. The business group is associated with the business entity it secures. A value of the secured business entity is selected. A user is secured by assigning the user to the business group for the selected value. The value of the secured business entity is assigned to the user. In one aspect, requests from the user to access the secured business entity are filtered based on the assigned, to the user, value of the business entity.

Abstract: Business groups are created to secure business entities of a BI data model. In one aspect, a user to be secured is selected and a business group of the BI model is retrieved. Based on the business group, access to a business entity of the BI model is secured. The business group is associated with the business entity it secures. A value of the secured business entity is selected. A user is secured by assigning the user to the business group for the selected value. The value of the secured business entity is assigned to the user. In one aspect, requests from the user to access the secured business entity are filtered based on the assigned, to the user, value of the business entity.

Abstract: Business groups are created to secure business entities of a BI data model. In one aspect, a user to be secured is selected and a business group of the BI model is retrieved. Based on the business group, access to a business entity of the BI model is secured. The business group is associated with the business entity it secures. A value of the secured business entity is selected. A user is secured by assigning the user to the business group for the selected value. The value of the secured business entity is assigned to the user. In one aspect, requests from the user to access the secured business entity are filtered based on the assigned, to the user, value of the business entity.

Abstract: Methods, systems, and computer-readable storage media for exposing relationships between universe objects. In some implementations, actions include identifying a universe, the universe including objects at an abstracted layer, automatically processing the objects of the abstracted layer to provide one or more link groups, each link group including a plurality of objects that have some relation to one another, and outputting the one or more link groups.

Abstract: Business groups are created to secure business entities of a BI data model. In one aspect, a user to be secured is selected and a business group of the BI model is retrieved. Based on the business group, access to a business entity of the BI model is secured. The business group is associated with the business entity it secures. A value of the secured business entity is selected. A user is secured by assigning the user to the business group for the selected value. The value of the secured business entity is assigned to the user. In one aspect, requests from the user to access the secured business entity are filtered based on the assigned, to the user, value of the business entity.

Abstract: A system includes reception of a logical schema associated with a data store, generation of an input schema based on the logical schema, reception of an expression having a type of the input schema and representing the topology of a data set, the data set being an instance of the input schema, compilation of the expression to a data specification based on the input schema, and generation of a plan to execute on the data store based on the data specification.

Abstract: A system includes reception of a logical schema associated with a data store, generation of an input schema based on the logical schema, reception of an expression having a type of the input schema and representing the topology of a data set, the data set being an instance of the input schema, compilation of the expression to a data specification based on the input schema, and generation of a plan to execute on the data store based on the data specification.

Abstract: A computer readable storage medium includes executable instructions to derive from a database schema an irreducible ambiguous group comprising a sub-schema with a set of vertices wherein any two vertices are part of a loop. Contexts are defined on the sub-schema. For each context, joins in the sub-schema are designated as mandatory joins, excluded joins and neutral joins. A selection of a context from multiple contexts invoked by a path characterizing a query is processed. The query is resolved using the context.

Abstract: A system includes a data structure comprising a plurality of mesh entities, the data structure associating each of the plurality of mesh entities with a respective name and a respective one or more attribute values, and associating each of the plurality of mesh entities with one or more relations to one or more other ones of the plurality of mesh entities. Some aspects include reception of a file comprising text, identification of text entities from the text, identification of first mesh entities from the plurality of mesh entities based on the identified text entities, determination, for each of the first mesh entities, of a name and one or more attribute values, and determination of a relevance associated with each identified text entity based on the determined name and one or more attribute values.

Abstract: A system may include a database of physical data tables, a logical database schema of logical entities associated with the physical data tables, and an abstraction layer comprising a plurality of dimension objects mapped to the logical entities, at least one of the plurality of dimension objects comprising one or more properties associating the at least one of the plurality of dimension objects to one or more others of the plurality of dimension objects.

Abstract: A method of receiving a report includes submitting a search query, receiving a proposed abstract query and report search results, and accepting a choice between submitting the proposed abstract query to generate a report and designating an existing report from the report search results. A report is then received in accordance with the choice.

Abstract: A system includes a data structure comprising a plurality of mesh entities, the data structure associating each of the plurality of mesh entities with a respective name and a respective one or more attribute values, and associating each of the plurality of mesh entities with one or more relations to one or more other ones of the plurality of mesh entities. Some aspects include reception of a file comprising text, identification of text entities from the text, identification of first mesh entities from the plurality of mesh entities based on the identified text entities, determination, for each of the first mesh entities, of a name and one or more attribute values, and determination of a relevance associated with each identified text entity based on the determined name and one or more attribute values.

Abstract: A method of searching at least one report includes extracting at least one of report element instance content, report element instance metadata, report element instance data, and at least one of associated report element instance context content, report element instance context metadata and report element instance context data to define indexed fields. A search query is received. The search query is applied against at least one indexed field. Search query results are compiled to produce a list of relevant report element instances.

Abstract: A computer readable storage medium includes executable instructions to receive a semantic abstraction describing at least one underlying data source. The semantic abstraction includes at least one dimension with at least one dimension value. Unstructured text is parsed into parsed text units. A dimension value is matched to a parsed text unit to form matched content. An indication of the matched content is stored.

Abstract: A computer readable storage medium includes executable instructions to extract data model object information and report data values from data model objects in at least one semantic abstraction to define indexed fields. A search query is received. The search query is applied against the indexed fields to define matching data model objects and matching report data values. A proposed abstract query with at least one matching data model object and a corresponding semantic abstraction is generated.

Abstract: A system may include a database of physical data tables, a logical database schema of logical entities associated with the physical data tables, and an abstraction layer comprising a plurality of dimension objects mapped to the logical entities, at least one of the plurality of dimension objects comprising one or more properties associating the at least one of the plurality of dimension objects to one or more others of the plurality of dimension objects.

Abstract: A computer readable storage medium includes executable instructions to derive from a database schema an irreducible ambiguous group comprising a sub-schema with a set of vertices wherein any two vertices are part of a loop. Contexts are defined on the sub-schema. For each context, joins in the sub-schema are designated as mandatory joins, excluded joins and neutral joins. A selection of a context from multiple contexts invoked by a path characterizing a query is processed. The query is resolved using the context.

Abstract: A computer readable storage medium includes executable instructions to receive a semantic abstraction describing at least one underlying data source. The semantic abstraction includes at least one dimension with at least one dimension value. Unstructured text is parsed into parsed text units. A dimension value is matched to a parsed text unit to form matched content. An indication of the matched content is stored.

Abstract: A method of receiving a report includes submitting a search query, receiving a proposed abstract query and report search results, and accepting a choice between submitting the proposed abstract query to generate a report and designating an existing report from the report search results. A report is then received in accordance with the choice.