Abstract: According to an example of the present disclosure, a system and a computer-implemented method of linking data in one or more databases are disclosed. The method includes selecting at least one domain based on a user input, where the domain is indicative of a class of data elements. Further, the method includes generating a plurality of uniform identifiers, based on the at least one domain and the one or more databases, where each of the plurality of uniform identifiers corresponds to an instance of the at least one domain. The method further includes correlating the plurality of uniform identifiers to link the instances corresponding to the plurality of uniform identifiers for linking the data stored in one or more databases.

Abstract: According to an example of the present disclosure, a system and a computer-implemented method of tracing data flow are disclosed. The method includes profiling and classifying, by at least one processing device, domains based on features of columns containing data. Further, the method includes selecting a lineage analysis method that includes selecting a timestamp-based lineage method, when database tables for the domains include audit columns. The lineage analysis method includes selecting a stroboscopic-sampling based lineage method, when a semantic object and/or a column mapped to a domain is present. The lineage analysis method includes selecting a record-based lineage method, when a lineage between a source schema and a target schema is to be ascertained. The method includes executing the selected lineage method, and presenting lineage results.

Abstract: According to an example of the present disclosure, a system and a computer-implemented method of linking data in one or more databases are disclosed. The method includes selecting at least one domain based on a user input, where the domain is indicative of a class of data elements. Further, the method includes generating a plurality of uniform identifiers, based on the at least one domain and the one or more databases, where each of the plurality of uniform identifiers corresponds to an instance of the at least one domain. The method further includes correlating the plurality of uniform identifiers to link the instances corresponding to the plurality of uniform identifiers for linking the data stored in one or more databases.

Abstract: According to an example of the present disclosure, a system and a computer-implemented method of tracing data flow are disclosed. The method includes profiling and classifying, by at least one processing device, domains based on features of columns containing data. Further, the method includes selecting a lineage analysis method that includes selecting a timestamp-based lineage method, when database tables for the domains include audit columns. The lineage analysis method includes selecting a stroboscopic-sampling based lineage method, when a semantic object and/or a column mapped to a domain is present. The lineage analysis method includes selecting a record-based lineage method, when a lineage between a source schema and a target schema is to be ascertained. The method includes executing the selected lineage method, and presenting lineage results.

Abstract: A system and method for associating data objects utilizing unique identifiers is provided. Data objects are modeled utilizing a data object ontology. Unique identifiers for instances of each data object are calculated utilizing a selection of unique attributes of the data object ontology. Data objects from multiple data sources can be integrated utilizing the unique identifiers for each data object.

Abstract: A system and method for associating data objects utilizing unique identifiers is provided. Data objects are modeled utilizing a data object ontology. Unique identifiers for instances of each data object are calculated utilizing a selection of unique attributes of the data object ontology. Data objects from multiple data sources can be integrated utilizing the unique identifiers for each data object.