Abstract: Database query analysis technology, in which an input query is received that relates to multiple attribute classes of data records. An index that is descriptive of the data records in data storage is accessed and relative positions in the accessed index for the multiple attribute classes are identified. The accessed index is processed based on more than one of the multiple attribute classes and the identified relative positions, and the processed index is used to identify groups of data records that are included in the data records in the data storage and that share common values for the multiple attribute classes in the input query. Metrics corresponding to the data records included in each of the identified groups of data records are accessed, computations are performed on the accessed metrics, and a report is generated that reflects results of the computations.

Abstract: Database query analysis technology, in which an input query is received that relates to multiple attribute classes of data records. An index that is descriptive of the data records in data storage is accessed and relative positions in the accessed index for the multiple attribute classes are identified. The accessed index is processed based on more than one of the multiple attribute classes and the identified relative positions, and the processed index is used to identify groups of data records that are included in the data records in the data storage and that share common values for the multiple attribute classes in the input query. Metrics corresponding to the data records included in each of the identified groups of data records are accessed, computations are performed on the accessed metrics, and a report is generated that reflects results of the computations.

Abstract: Database query analysis technology, in which an input query is received that relates to multiple attribute classes of data records. An index that is descriptive of the data records in data storage is accessed and relative positions in the accessed index for the multiple attribute classes are identified. The accessed index is processed based on more than one of the multiple attribute classes and the identified relative positions, and the processed index is used to identify groups of data records that are included in the data records in the data storage and that share common values for the multiple attribute classes in the input query. Metrics corresponding to the data records included in each of the identified groups of data records are accessed, computations are performed on the accessed metrics, and a report is generated that reflects results of the computations.

Abstract: In one implementation, a query is received that is related to data stored in a database that is implemented in computer memory. Based on the received query, attributes of data stored in the database that are relevant to generating a response to the received query are identified. Information that is indicative of attributes for which values are recorded in different tables included in the database is accessed. Based on having accessed this information, tables included in the database that record values for the attributes identified as being relevant to generating a response to the received query are identified. These tables then are joined to create, within computer memory, a new table that reflects relationships between values of attributes identified as being relevant to generating a response to the received query.

Abstract: Database report generation technology for handling a single logical query that requires data that is physically located in two different sources. The system uses intelligent push-down joins, which move data from one source to the other and join data within that source. The system dynamically determines which direction to move data depending on how the data is used in a query.

Abstract: Data associated with user identities within an electronic social networking platform is extracted from the electronic social networking platform. A request is received to filter the user identities based on a specified value for a characteristic. Based on data associated with the user identities that was extracted from the electronic social networking platform, a subset of the user identities is identified who have the specified value for the characteristic. An indication of content to be delivered to the identified subset of user identities is received. As a consequence, the content is delivered to at least some of the user identities within the identified subset of user identities.

Abstract: In one implementation, data associated with user identities within an electronic social networking platform is extracted from the electronic social networking platform. A subset of these user identities may have endorsed a particular entity within the electronic social networking platform, and a segment of user identities within this subset may be identified. Content then may be delivered to at least some of the user identities within the segment.

Abstract: In one implementation, a query is received that is related to data stored in a database that is implemented in computer memory. Based on the received query, attributes of data stored in the database that are relevant to generating a response to the received query are identified. Information that is indicative of attributes for which values are recorded in different tables included in the database is accessed. Based on having accessed this information, tables included in the database that record values for the attributes identified as being relevant to generating a response to the received query are identified. These tables then are joined to create, within computer memory, a new table that reflects relationships between values of attributes identified as being relevant to generating a response to the received query.

Abstract: A technique for exporting results from a reporting system report in a format type including a datamart, PDF file, flat file, Excel™ file, HTML file, and XML file or in another relational database management system (RDBMS) format. In one embodiment, the technique is realized through a method and a system for automatically exporting results from a business intelligence, OLAP, or other reporting system. One embodiment of the present invention involves a method of enabling a user to designate a report desired for execution as an export-report. When the report is processed, the report is exported into a datamart or other format and made available for access by the user through one or more different types of user devices. The user may then further manipulate or export the results from the datamart to a file type as desired.

Abstract: Database query analysis technology, in which an input query is received that relates to multiple attribute classes of data records. An index that is descriptive of the data records in data storage is accessed and relative positions in the accessed index for the multiple attribute classes are identified. The accessed index is processed based on more than one of the multiple attribute classes and the identified relative positions, and the processed index is used to identify groups of data records that are included in the data records in the data storage and that share common values for the multiple attribute classes in the input query. Metrics corresponding to the data records included in each of the identified groups of data records are accessed, computations are performed on the accessed metrics, and a report is generated that reflects results of the computations.

Abstract: Database report generation technology for handling a single logical query that requires data that is physically located in two different sources. The system uses intelligent push-down joins, which move data from one source to the other and join data within that source. The system dynamically determines which direction to move data depending on how the data is used in a query.

Abstract: Database report generation technology for handling a single logical query that requires data that is physically located in two different sources. The system uses intelligent push-down joins, which move data from one source to the other and join data within that source. The system dynamically determines which direction to move data depending on how the data is used in a query.

Abstract: A business intelligence system comprises a business intelligence interface system that enables users to interface with a business intelligence system and an electronic learning system that delivers electronic learning related to the business intelligence system. The business intelligence interface system enables one or more portions, such as folders of reports, individual reports, metadata or other business intelligence objects, or a report definition, of the business intelligence system for use by a user based on information related to whether the user has engaged in electronic learning associated with the one or more portions. A user may self-provision access by earning a privilege based on reviewing a lesson, passing a test, and/or other activities relative to the business intelligence object. Upon meeting electronic learning criteria, the electronic learning system updates privileges to enable access to the business intelligence object or class of objects.

Abstract: A selection engine for a cooperative processing network, in which databases compute portions of searches and analyses which they may most efficiently compute. A data mining network may contain large scale databases, analytic engines which communicate with the databases, and other resources, each capable of performing or executing certain functions, such as statistical functions. When a user desires to run a specified report against the databases, those functions that can be computed locally in the database are trapped and computed therein, whereas other functions, such as advanced statistical functions, may be distributed to remote analytic engines or other resources in the network. A management module may coordinate the transmission and assembly of the data, including to order dependencies. The management module may contain a selection engine to allocate computations to databases or other resources as a default, to test for load balancing before choosing a compute site, or apply other criteria.

Abstract: Data organization and indexing, in which data that includes information for multiple attribute classes is accessed and redundancy characteristics of the accessed data within each of at least two of the multiple attribute classes are identified. Based on the identified redundancy characteristics, a relative order among the multiple attribute classes of the accessed data is determined and the accessed data is organized based on the determined relative order. The organized data is compressed using run length encoding and an index that is descriptive of the compressed data is generated. The encoded data and the generated index are stored to enable subsequent searching of the encoded data using the generated index.

Abstract: Database query analysis technology, in which an input query is received that relates to multiple attribute classes of data records. An index that is descriptive of the data records in data storage is accessed and relative positions in the accessed index for the multiple attribute classes are identified. The accessed index is processed based on more than one of the multiple attribute classes and the identified relative positions, and the processed index is used to identify groups of data records that are included in the data records in the data storage and that share common values for the multiple attribute classes in the input query. Metrics corresponding to the data records included in each of the identified groups of data records are accessed, computations are performed on the accessed metrics, and a report is generated that reflects results of the computations.

Abstract: The present invention presents security and user account integration with remote authentication servers, (e.g., repositories not owned by the server). Integration may occur with Lightweight Directory Access Protocol (LDAP), an operating system (e.g., Microsoft Windows™ NT™) authentication, custom account repositories and others. For example, the server may synchronize associated user lists with a remote repository. In another example, the server may also make external calls to remote authentication servers to validate a user's username and password. Other information may be validated.

Abstract: A system and method for syntax abstraction in query language generation in an online analytical processing system, a business intelligence system, a reporting system, or a data mining system. The system generates one or more query language statements that can be run against one or more data sources to return a desired data result set. The system includes a syntax pattern selector module and a statement assembly module. The syntax pattern selector module selects a syntax pattern corresponding to a desired function and a syntax standard. The statement assembly module populates the syntax pattern with an argument data set associated with the desired data set. The result is the generation of one or more query language statements with the correct function, syntax, and data parameters to return the desired data result set from the data sources. A method and medium having processor readable code therein are also described.

Abstract: Systems and methods are provided for filtering data in a database using an execution plan. The execution plan has a first processing pass against the database that calculates a filter set using a filter criteria, and a second processing pass against the filter set that calculates a report result.

Abstract: An reporting system that incorporates prompt objects in a report definition to enable a user to specify answers to questions to customize a report at execution time. A prompt object contains a single question to be answered, validation values for the answer, and attributes indicating how the prompt object is to be processed. A collection of answers is built up in a resolution object. A report is thus defined by selecting prompt objects in place of templates, filters, or any of the aspects of a template or filter. As a separate object, a single prompt may be issued once and the answer supplied to each reference to the prompt object in a report. A resolution object may be created and saved before the execution of a report. The saved resolution object can then be used to answer prompts at the time of the report execution.