Abstract: In one embodiment the present invention includes an OLAP execution model using relational operations. In one embodiment, the present invention includes, a method comprising receiving a first query in an online analytic processor (OLAP) executing on one or more computers, the OLAP generating and comprising a model specifying a graph defining a plurality of nodes and a plurality of tiers, each node corresponding to a different operation on data. A second query is generated by the OLAP. The second query includes a plurality of layered subqueries each corresponding to one of the nodes in the graph for specifying the different operations on data. The second query is received in a relational engine coupled to the datastore. The relational engine executes the second query, and in accordance therewith, retrieves data.

Abstract: In one embodiment the present invention includes an OLAP execution model using relational operations. In one embodiment, the present invention includes, a method comprising receiving a first query in an online analytic processor (OLAP) executing on one or more computers, the OLAP generating and comprising a model specifying a graph defining a plurality of nodes and a plurality of tiers, each node corresponding to a different operation on data. A second query is generated by the OLAP. The second query includes a plurality of layered subqueries each corresponding to one of the nodes in the graph for specifying the different operations on data. The second query is received in a relational engine coupled to the datastore. The relational engine executes the second query, and in accordance therewith, retrieves data.

Abstract: In one embodiment the present invention includes a system for securing and authorizing access to multidimensional transactional data. The system includes online analytical processing (OLAP) system and a database system. The OLAP system accesses a selection of multidimensional transactional data from the database system according to a multidimensional request. The OLAP system aggregates the selection to form aggregated information. The OLAP system filters the selection according to the authorization for the user, to form a filtered selection. In this manner the user can see accurate aggregations yet not see unauthorized data.

Abstract: In one embodiment the present invention includes an OLAP execution model using relational operations. In one embodiment, the present invention includes, a method comprising receiving a first query in an online analytic processor (OLAP) executing on one or more computers, the OLAP generating and comprising a model specifying a graph defining a plurality of nodes and a plurality of tiers, each node corresponding to a different operation on data. A second query is generated by the OLAP. The second query includes a plurality of layered subqueries each corresponding to one of the nodes in the graph for specifying the different operations on data. The second query is received in a relational engine coupled to the datastore. The relational engine executes the second query, and in accordance therewith, retrieves data.

Abstract: A query having multiple parts may be processed to form an intermediate results set. This intermediate results set may be partitioned into a plurality of groups. Thereafter, the groups may be sorted into a plurality of containers so that each container contains data sufficient to calculate one requested result in the multipart query. Related techniques, apparatuses, systems, and computer program products are also described.

Abstract: A query having multiple parts may be processed to form an intermediate results set. This intermediate results set may be partitioned into a plurality of groups. Thereafter, the groups may be sorted into a plurality of containers so that each container contains data sufficient to calculate one requested result in the multipart query. Related techniques, apparatuses, systems, and computer program products are also described.

Abstract: In one embodiment the present invention includes a system for securing and authorizing access to multidimensional transactional data. The system includes online analytical processing (OLAP) system and a database system. The OLAP system accesses a selection of multidimensional transactional data from the database system according to a multidimensional request. The OLAP system aggregates the selection to form aggregated information. The OLAP system filters the selection according to the authorization for the user, to form a filtered selection. In this manner the user can see accurate aggregations yet not see unauthorized data.

Abstract: A query having multiple parts may be processed to form an intermediate results set. This intermediate results set may be partitioned into a plurality of groups. Thereafter, the groups may be sorted into a plurality of containers so that each container contains data sufficient to calculate one requested result in the multipart query. Related techniques, apparatuses, systems, and computer program products are also described.

Abstract: Methods and apparatus, including computer systems and program products, relating to an information management system and aggregating data by performing table scans. In general, in one aspect, the technique includes receiving a query for a response to a search on a database, loading data from the database into memory, filtering the data based on the query to generate a list of results, buffering at least one key figure corresponding to a result, buffering at least one dimension value corresponding to each key figure, aggregating the dimension values to generate an aggregate key, aggregating key figures corresponding to the sane aggregate key to generate one or more aggregate key figures, and displaying the response to the search on a display device. Loading the data may include compressing the data. Filtering the data may be performed blockwise.

Abstract: A database system may include a database, a set of tools for accessing the database, a data buffer for storing data objects from the database, and a “delta buffer” for storing delta records. Simulations may be performed in the database system by the set of tools that access the database. Simulative changes of the data may be handled by the delta buffer. The delta buffer need not contain all the data used for simulations and may include delta records. Each delta record may include simulative changes of the data and a request identifier. The content of the delta buffer may be integrated with the unchanged, original data from the database. The delta buffer in combination with the data buffer may provide an integrated view for tools that access the database, such as planning and reporting tools.

Abstract: Methods and apparatus, including computer systems and program products, relating to an information management system and aggregating data by performing table scans. In general, in one aspect, the technique includes receiving a query for a response to a search on a database, loading data from the database into memory, filtering the data based on the query to generate a list of results, buffering at least one key figure corresponding to a result, buffering at least one dimension value corresponding to each key figure, aggregating the dimension values to generate an aggregate key, aggregating key figures corresponding to the sane aggregate key to generate one or more aggregate key figures, and displaying the response to the search on a display device. Loading the data may include compressing the data. Filtering the data may be performed blockwise.

Abstract: Methods and apparatus, including computer systems and program products, relating to an information management system and aggregating data by performing table scans. In general, in one aspect, the technique includes receiving a query for a response to a search on a database, loading data from the database into memory, filtering the data based on the query to generate a list of results, buffering at least one key figure corresponding to a result, buffering at least one dimension value corresponding to each key figure, aggregating the dimension values to generate an aggregate key, aggregating key figures corresponding to the same aggregate key to generate one or more aggregate key figures, and displaying the response to the search on a display device. Loading the data may include compressing the data. Filtering the data may be performed blockwise.

Abstract: Systems and techniques for mapping data structures in a data processing environment to help ensure the accessibility of stored information. In one implementation, an article includes a machine-readable medium storing instructions. The instructions are operable to cause one or more machines to perform operations. The operations include receiving a first data storage schema in which a characteristic in a first dimension table is mapped by a first table and a second table and generating a second data storage schema. The first table maps the characteristic to a first object that include attributes to which time information is irrelevant to data processing activities and the second table maps the characteristic to a second object that include attributes to which time information is relevant to data processing activities.

Abstract: A query having multiple parts may be processed to form an intermediate results set. This intermediate results set may be partitioned into a plurality of groups. Thereafter, the groups may be sorted into a plurality of containers so that each container contains data sufficient to calculate one requested result in the multipart query. Related techniques, apparatuses, systems, and computer program products are also described.

Abstract: Methods and apparatus, including computer systems and program products, for processing queries for which a solution requires that an information management system perform logical operations on a data repository. In general, in one aspect, the techniques feature a method of executing queries on a data repository. That method includes receiving a query, adapted for execution on a data set in the data repository; defining a sample of the data set, where the sample is a subset of the data set; executing the query on the sample; generating an estimate of a result of the execution of the query on the sample; and providing the estimate to a user interface. The method may further include defining an Nth sample, such that the Nth sample is larger than an (N?1) th sample, and generating an Nth estimate of the result based on the execution of the query on the Nth sample.

Abstract: Methods and apparatus, including computer systems and program products, relating to an information management system and aggregating data by performing table scans. In general, in one aspect, the technique includes receiving a query for a response to a search on a database, loading data from the database into memory, filtering the data based on the query to generate a list of results, buffering at least one key figure corresponding to a result, buffering at least one dimension value corresponding to each key figure, aggregating the dimension values to generate an aggregate key, aggregating key figures corresponding to the same aggregate key to generate one or more aggregate key figures, and displaying the response to the search on a display device. Loading the data may include compressing the data. Filtering the data may be performed blockwise.

Abstract: A database system may include a database, a set of tools for accessing the database, a data buffer for storing data objects from the database, and a “delta buffer” for storing delta records. Simulations may be performed in the database system by the set of tools that access the database. Simulative changes of the data may be handled by the delta buffer. The delta buffer need not contain all the data used for simulations and may include delta records. Each delta record may include simulative changes of the data and a request identifier. The content of the delta buffer may be integrated with the unchanged, original data from the database. The delta buffer in combination with the data buffer may provide an integrated view for tools that access the database, such as planning and reporting tools.