Abstract: A method of identifying relationships between data collections is disclosed. Each data collection comprises a plurality of data records made up of data fields. The method comprises performing a relationship search process based on a first seed value and a second seed value. A first set of records from the data collections is identified based on the first seed value. A second set of records from the data collections is identified based on the second seed value. The process then searches for a common value across the first and second record sets, wherein the common value is a value which appears in a first field in a first record of the first record set and in a second field in a second record of the second record set, wherein the first record is from a first data collection and the second record is from a second data collection.

Abstract: A computer-implemented method of managing data in a data repository is disclosed. The method comprises maintaining a data repository, the data repository storing data imported from one or more data sources. A database entity added to the data repository is identified and a metadata object for storing metadata relating to the database entity is created and stored in a metadata repository. The metadata object is also added to a documentation queue. Metadata for the metadata object is received from user via a metadata management user interface and the received metadata is stored in the metadata repository and associated with the metadata object.

Abstract: A method and software tool for identifying relationships between columns of one or more data tables are disclosed. In the disclosed method, a relationship indicator is computed for each of a plurality of column pairs, each column pair comprising respective first and second columns selected from the one or more data tables. The relationship indicator comprises a measure of a relationship (e.g. indicating a strength or likelihood of a relationship) between data of the first column and data of the second column. Relationships between columns of the data tables are then identified in dependence on the computed relationship indicators. The identified relationships may be used to create and execute data queries.

Abstract: A method and software tool for identifying relationships between columns of one or more data tables are disclosed. In the disclosed method, a relationship indicator is computed for each of a plurality of column pairs, each column pair comprising respective first and second columns selected from the one or more data tables. The relationship indicator comprises a measure of a relationship (e.g. indicating a strength or likelihood of a relationship) between data of the first column and data of the second column. Relationships between columns of the data tables are then identified in dependence on the computed relationship indicators. The identified relationships may be used to create and execute data queries.

Abstract: A computer-implemented method of managing data in a data repository is disclosed. The method comprises maintaining a data repository, the data repository storing data imported from one or more data sources. A database entity added to the data repository is identified and a metadata object for storing metadata relating to the database entity is created and stored in a metadata repository. The metadata object is also added to a documentation queue. Metadata for the metadata object is received from user via a metadata management user interface and the received metadata is stored in the metadata repository and associated with the metadata object.

Abstract: A method of identifying relationships between data collections is disclosed. Each data collection comprises a plurality of data records made up of data fields. The method comprises performing a relationship search process based on a first seed value and a second seed value. A first set of records from the data collections is identified based on the first seed value. A second set of records from the data collections is identified based on the second seed value. The process then searches for a common value across the first and second record sets, wherein the common value is a value which appears in a first field in a first record of the first record set and in a second field in a second record of the second record set, wherein the first record is from a first data collection and the second record is from a second data collection.

Abstract: A method and software tool for identifying relationships between columns of one or more data tables are disclosed. In the disclosed method, a relationship indicator is computed for each of a plurality of column pairs, each column pair comprising respective first and second columns selected from the one or more data tables. The relationship indicator comprises a measure of a relationship (e.g. indicating a strength or likelihood of a relationship) between data of the first column and data of the second column. Relationships between columns of the data tables are then identified in dependence on the computed relationship indicators. The identified relationships may be used to create and execute data queries.

Abstract: A computer-implemented method of managing data in a data repository is disclosed. The method comprises maintaining a data repository, the data repository storing data imported from one or more data sources. A database entity added to the data repository is identified and a metadata object for storing metadata relating to the database entity is created and stored in a metadata repository. The metadata object is also added to a documentation queue. Metadata for the metadata object is received from user via a metadata management user interface and the received metadata is stored in the metadata repository and associated with the metadata object.

Abstract: A method and software tool for identifying relationships between columns of one or more data tables are disclosed. In the disclosed method, a relationship indicator is computed for each of a plurality of column pairs, each column pair comprising respective first and second columns selected from the one or more data tables. The relationship indicator comprises a measure of a relationship (e.g. indicating a strength or likelihood of a relationship) between data of the first column and data of the second column. Relationships between columns of the data tables are then identified in dependence on the computed relationship indicators. The identified relationships may be used to create and execute data queries.

Abstract: A computer-implemented method of managing data in a data repository is disclosed. The method comprises maintaining a data repository, the data repository storing data imported from one or more data sources. A database entity added to the data repository is identified and a metadata object for storing metadata relating to the database entity is created and stored in a metadata repository. The metadata object is also added to a documentation queue. Metadata for the metadata object is received from user via a metadata management user interface and the received metadata is stored in the metadata repository and associated with the metadata object.