Abstract: A method, computer program product, and system for analyzing data within one or more databases, comprising selecting one or more databases for analysis, each database comprising one or more database objects comprising one or more data values, applying a function to each data value in each database object within the one or more databases, where the function produces function values limited to a predetermined range, identifying for analysis the data values producing a certain function value within the predetermined range to form a sampled data set, and analyzing the sampled data set to determine relationships between the database objects within and across the one or more databases.

Abstract: According to a present invention embodiment, a system determines a relationship between source and target database tables, and includes a computer system including at least one processor. Potential pivot keys of the target database table are determined, and maps are created for each potential pivot key between the database tables based on distinct values. Transformations for each map are generated that enable target data to be produced from source data. The transformations for each potential pivot key are analyzed and the potential pivot key with the transformations that generate the greatest amount of matching data is selected as the resulting pivot key. The database table columns corresponding to the resulting pivot key are determined to be associated by the relationship. Embodiments of the present invention further include a method and computer program product for determining a relationship between source and target database tables in substantially the same manner described above.

Abstract: An apparatus and method are described for the discovery of semantics, relationships and mappings between data in different software applications, databases, files, reports, messages, or systems. In one aspect, semantics and relationships and mappings are identified between a first and a second data source. A binding condition is discovered between portions of data in the first and the second data source. The binding condition is used to discover correlations between portions of data in the first and the second data source. The binding condition and the correlations are used to discover a transformation function between portions of data in the first and the second data source.

Abstract: According to one embodiment of the present invention, a system determines key relationships between database tables and includes a computer system including at least one processor. The system determines a sampling range for one or more matching columns between first and second database tables. The matching columns satisfy one or more matching criteria and the sampling range is based on quantities of distinct values within the matching columns. Data is sampled from the first and second database tables in accordance with the sampling ranges to determine a sample set. Keys between the first and second database tables are determined based on matching between columns within the sample set. Embodiments of the present invention further include a method and computer program product for determining key relationships between database tables in substantially the same manner described above.

Abstract: An apparatus and method are described for the discovery of semantics, relationships and mappings between data in different software applications, databases, files, reports, messages, or systems. In one aspect, semantics and relationships and mappings are identified between a first and a second data source. A binding condition is discovered between portions of data in the first and the second data source. The binding condition is used to discover correlations between portions of data in the first and the second data source. The binding condition and the correlations are used to discover a transformation function between portions of data in the first and the second data source.

Abstract: A data source is accessed to provide information.

Abstract: A method, computer program product, and system for analyzing data within one or more databases, comprising selecting one or more databases for analysis, each database comprising one or more database objects comprising one or more data values, applying a function to each data value in each database object within the one or more databases, where the function produces function values limited to a predetermined range, identifying for analysis the data values producing a certain function value within the predetermined range to form a sampled data set, and analyzing the sampled data set to determine relationships between the database objects within and across the one or more databases.

Abstract: A data source is accessed to provide information.

Abstract: A data source is accessed to provide information.

Abstract: An apparatus and method are described for the discovery of semantics, relationships and mappings between data in different software applications, databases, files, reports, messages, or systems. In one aspect, semantics and relationships and mappings are identified between a first and a second data source. A binding condition is discovered between portions of data in the first and the second data source. The binding condition is used to discover correlations between portions of data in the first and the second data source. The binding condition and the correlations are used to discover a transformation function between portions of data in the first and the second data source.

Abstract: In one aspect, semantics and relationships and mappings are identified between a first and a second data source. Data between the first and second data source is compared. A binding condition is discovered between portions of data in the first and the second data source based upon the comparison, wherein the binding condition identifies data within the first and second data sources that map to each other. The binding condition is used to discover correlations between portions of data in the first and the second data source, wherein the correlations identify data in the first data source that correspond to values in the second data source. The binding condition and the correlations are used to discover a transformation function between portions of data in the first and the second data source, wherein the transformation function generates data in the second data source data in the first data source.

Abstract: A method and a system for facilitating data retrieval from a plurality of data sources are provided. A plurality of ‘Local Data Objects’ (LDOs) corresponding to the plurality of data sources are generated. Further, the plurality of LDOs are mapped onto a ‘Global Data Object’ (GDO). The GDO consolidates the plurality of LDOs into a single integrated model. The mapping of the LDOs onto the GDO includes a plurality of ‘binding conditions’ that relate LDO attributes to GDO attributes. The mapping also includes a plurality of ‘transformation functions’ for transforming the LDO attributes to the GDO attributes.

Abstract: An apparatus and method are described for the discovery of semantics, relationships and mappings between data in different software applications, databases, files, reports, messages, or systems. In one aspect, semantics and relationships and mappings are identified between a first and a second data source. A binding condition is discovered between portions of data in the first and the second data source. The binding condition is used to discover correlations between portions of data in the first and the second data source. The binding condition and the correlations are used to discover a transformation function between portions of data in the first and the second data source.

Abstract: An apparatus and method are described for the discovery of semantics, relationships and mappings between data in different software applications, databases, files, reports, messages, or systems. In one aspect, semantics and relationships and mappings are identified between a first and a second data source. A binding condition is discovered between portions of data in the first and the second data source. The binding condition is used to discover correlations between portions of data in the first and the second data source. The binding condition and the correlations are used to discover a transformation function between portions of data in the first and the second data source.

Abstract: A method of generating procedural language code for extracting data from a data warehouse comprising the steps of accepting a declarative specification and generating procedural language code to execute the declarative specification.

Abstract: A method and a system for facilitating data retrieval from a plurality of data sources are provided. A plurality of ‘Local Data Objects’ (LDOs) corresponding to the plurality of data sources are generated. Further, the plurality of LDOs are mapped onto a ‘Global Data Object’ (GDO). The GDO consolidates the plurality of LDOs into a single integrated model. The mapping of the LDOs onto the GDO includes a plurality of ‘binding conditions’ that relate LDO attributes to GDO attributes. The mapping also includes a plurality of ‘transformation functions’ for transforming the LDO attributes to the GDO attributes.

Abstract: An apparatus and method are described for the discovery of semantics, relationships and mappings between data in different software applications, databases, files, reports, messages, or systems. In one aspect, semantics and relationships and mappings are identified between a first and a second data source. A binding condition is discovered between portions of data in the first and the second data source. The binding condition is used to discover correlations between portions of data in the first and the second data source. The binding condition and the correlations are used to discover a transformation function between portions of data in the first and the second data source.

Abstract: A method of generating procedural language code for extracting data from a data warehouse comprising the steps of accepting a declarative specification and generating procedural language code to execute the declarative specification.

Abstract: In a computing system, wherein applications access databases to obtain data and the databases are updated from time to time and the applications require consistent data from the databases even while an update is occurring, a first database; a second database, wherein the first database and second database a substantive copies of each other outside of an update period; a database indicator that indicates one of the first and second databases as a live database and the other one of the first and second databases as a load database; a query router for routing queries from application to the live database; and a router switcher for switching the database indicator such that the live database becomes the load database and the load database becomes the live database.

Abstract: In a data processing system, hierarchical documents or hierarchical messages are mapped to a Nested Relational Data Model to allow for transformation and manipulation using declarative statements. The resulting nested data can be converted to a relational format and mapped to multiple relational tables, and/or converted from a nested relational format to an external hierarchical format, such as XML. The system can specify and execute declarative rules to extract, transform, integrate, load and update hierarchical and relational data. The system can also be used for extending documents with relational and non-relational data and applying updates based on these documents to relational database targets. The system can also be used for mapping Nested Relational Data to function calls that accept tables as parameters and return multiple scalar and table parameters as output.