Abstract: According to some embodiments, a plurality of source records may be received from a plurality of data sources, with each source record including a plurality of fields. It may be determined that a match group of source records from different data sources relate to the same entity, and a single best record may be automatically created for the match group based on field values from different source records in the match group. The creating may includes, for example, assigning a first set of fields to a first survivorship group associated with a first survivorship rule and a second set of fields to a second survivorship group associated with a second survivorship rule. All records in the match group may then be simultaneously ranked in accordance with the first and second survivorship rules using a single query. The best record could then be stored for subsequent use by other applications.

Abstract: According to some embodiments, a script written in a scripting programming language may be received (e.g., by a script executer). It may be determined that a first line in the script comprises a first comment, and the first comment may be interpreted as an embedded parallel part control statement. Parallel execution of a portion of the script may then be automatically arranged in accordance with the parallel part control statement.

Abstract: According to some embodiments, a data source is accessed from which data will be retrieved via a plurality of processing threads. The data source may have, for example, a plurality of records with each record being associated with a plurality of identifiers. Each of the plurality of identifiers may be dynamically evaluated as a potential range identifier, and the evaluation may be based at least in part on a number of distinct values present within each identifier. One of the potential range identifiers may be selected as a selected range identifier, and the plurality of records may be divided into ranges defined using the selected range identifier.

Abstract: According to some embodiments, a plurality of source records may be received from a plurality of data sources, with each source record including a plurality of fields. It may be determined that a match group of source records from different data sources relate to the same entity, and a single best record may be automatically created for the match group based on field values from different source records in the match group. The creating may includes, for example, assigning a first set of fields to a first survivorship group associated with a first survivorship rule and a second set of fields to a second survivorship group associated with a second survivorship rule. All records in the match group may then be simultaneously ranked in accordance with the first and second survivorship rules using a single query. The best record could then be stored for subsequent use by other applications.

Abstract: According to some embodiments, a business enterprise platform may install a database associated with a customer of the business enterprise platform. The business enterprise platform may then provide to the customer at least one pre-defined configurable view of the information in the database. Moreover, customization of the pre-defined configurable view of the information in the database by the customer and/or a service provider may be automatically facilitated.

Abstract: According to some embodiments, a business enterprise platform may install a database associated with a customer of the business enterprise platform. The business enterprise platform may then provide to the customer at least one pre-defined configurable view of the information in the database. Moreover, customization of the pre-defined configurable view of the information in the database by the customer and/or a service provider may be automatically facilitated.

Abstract: According to some embodiments, a script written in a scripting programming language may be received (e.g., by a script executer). It may be determined that a first line in the script comprises a first comment, and the first comment may be interpreted as an embedded parallel part control statement. Parallel execution of a portion of the script may then be automatically arranged in accordance with the parallel part control statement.

Abstract: According to some embodiments, a data source is accessed from which data will be retrieved via a plurality of processing threads. The data source may have, for example, a plurality of records with each record being associated with a plurality of identifiers. Each of the plurality of identifiers may be dynamically evaluated as a potential range identifier, and the evaluation may be based at least in part on a number of distinct values present within each identifier. One of the potential range identifiers may be selected as a selected range identifier, and the plurality of records may be divided into ranges defined using the selected range identifier.

Abstract: A system and method for providing semantic access of data in a master data management system. Data stored in a dynamic repository schema is exposed in a semantically accurate format. The schema is determined from information received from the master data management system describing the schema. A set of database views is generated based on said schema. A query from an external application in a standard query language is received and the query is performed using at least one database view. The database views are updated when a schema change is detected.

Abstract: A data generator for database schema verification, system sizing and functional test of data dependent applications. Allows for generation of data from random values or from working databases which may be profiled to generate patterns for occurrences of values and sizes of values. The data may be filled with a fill rate that dictates the percentage of fields assigned nulls. Cardinality allows for a fixed number of values to occur across the records for a field. May utilize reference data associated with an existing database to fill fields. Qualifiers and multi-value fields may be filled to mimic real data. Maximum, nominal and average number of occurrences of sizes of data and qualifiers and multi-value data may be specified. May also utilize dictionaries to fill. Hierarchical levels and number of child nodes may also be specified and used in filling taxonomy tables and hierarchy tables for example.

Abstract: A system and method for providing semantic access of data in a master data management system. Data stored in a dynamic repository schema is exposed in a semantically accurate format. The schema is determined from information received from the master data management system describing the schema. A set of database views is generated based on said schema. A query from an external application in a standard query language is received and the query is performed using at least one database view. The database views are updated when a schema change is detected.

Abstract: A data generator for database schema verification, system sizing and functional test of data dependent applications. Allows for generation of data from random values or from working databases which may be profiled to generate patterns for occurrences of values and sizes of values. The data may be filled with a fill rate that dictates the percentage of fields assigned nulls. Cardinality allows for a fixed number of values to occur across the records for a field. May utilize reference data associated with an existing database to fill fields. Qualifiers and multi-value fields may be filled to mimic real data. Maximum, nominal and average number of occurrences of sizes of data and qualifiers and multi-value data may be specified. May also utilize dictionaries to fill. Hierarchical levels and number of child nodes may also be specified and used in filling taxonomy tables and hierarchy tables for example.

Abstract: A method for metadata verification of a data repository of a computer system is described comprising accessing a data repository through a data profiler program, querying the data repository for metadata information about the data repository, presenting statistics regarding the metadata information using the profiler, analyzing the metadata information to identify suspect metadata information from the data repository and presenting the suspect metadata information for inspection using the profiler.

Abstract: A data generator for database schema verification, system sizing and functional test of data dependent applications. Allows for generation of data from random values or from working databases which may be profiled to generate patterns for occurrences of values and sizes of values. The data may be filled with a fill rate that dictates the percentage of fields assigned nulls. Cardinality allows for a fixed number of values to occur across the records for a field. May utilize reference data associated with an existing database to fill fields. Qualifiers and multi-value fields may be filled to mimic real data. Maximum, nominal and average number of occurrences of sizes of data and qualifiers and multi-value data may be specified. May also utilize dictionaries to fill. Hierarchical levels and number of child nodes may also be specified and used in filling taxonomy tables and hierarchy tables for example.

Abstract: A method for metadata verification of a data repository of a computer system is described comprising accessing a data repository through a data profiler program, querying the data repository for metadata information about the data repository, presenting statistics regarding the metadata information using the profiler, analyzing the metadata information to identify suspect metadata information from the data repository and presenting the suspect metadata information for inspection using the profiler.

Abstract: A data generator for database schema verification, system sizing and functional test of data dependent applications. Allows for generation of data from random values or from working databases which may be profiled to generate patterns for occurrences of values and sizes of values. The data may be filled with a fill rate that dictates the percentage of fields assigned nulls. Cardinality allows for a fixed number of values to occur across the records for a field. May utilize reference data associated with an existing database to fill fields. Qualifiers and multi-value fields may be filled to mimic real data. Maximum, nominal and average number of occurrences of sizes of data and qualifiers and multi-value data may be specified. May also utilize dictionaries to fill. Hierarchical levels and number of child nodes may also be specified and used in filling taxonomy tables and hierarchy tables for example.