Abstract: Embodiments of the present disclosure relate to a data analysis system for grouping and enriching data items for presentation to an analyst through a user interface. Data items from one or more data sources are combined into memory-efficient clustered data structures, which may be stored as one or more data tables in a database. Analysis and scoring of those clustered data structures can be performed by utilizing various criteria or rules to generate scores, reports, alerts, or conclusions that may aid an analyst in evaluating the clustered data structures. The analysis and scoring may also be added to the clustered data structures which are stored as one or more data tables in a database. The analyst may be prompted to create a dossier format or specification and to additional enrichments to be performed on the raw data items in the clustered data structures.

Abstract: Methods, systems and computer programs for verifying permissioning rights to one or more data resources associated with a data processing platform (DPP) are disclosed. An exemplary method comprises receiving an assertion statement identifying a user, a data resource and an operation performable with respect to the data resource; in response to receiving the assertion statement, generating a hierarchical representation of an access control list for the data resource identified in the statement and evaluating the hierarchical representation against a current state of permissions to determine if the received assertion statement is true or false in relation to said data resource identified in the assertion statement; in response to determining that the assertion is false, generating an error message for output.

Abstract: Embodiments of the present disclosure relate to a data analysis system for grouping and enriching data items for presentation to an analyst through a user interface. Data items from one or more data sources are combined into memory-efficient clustered data structures, which may be stored as one or more data tables in a database. Analysis and scoring of those clustered data structures can be performed by utilizing various criteria or rules to generate scores, reports, alerts, or conclusions that may aid an analyst in evaluating the clustered data structures. The analysis and scoring may also be added to the clustered data structures which are stored as one or more data tables in a database. The analyst may be prompted to create a dossier format or specification and to additional enrichments to be performed on the raw data items in the clustered data structures.

Abstract: Embodiments of the present disclosure relate to a data analysis system for grouping and enriching data items for presentation to an analyst through a user interface. Data items from one or more data sources are combined into memory-efficient clustered data structures, which may be stored as one or more data tables in a database. Analysis and scoring of those clustered data structures can be performed by utilizing various criteria or rules to generate scores, reports, alerts, or conclusions that may aid an analyst in evaluating the clustered data structures. The analysis and scoring may also be added to the clustered data structures which are stored as one or more data tables in a database. The analyst may be prompted to create a dossier format or specification and to additional enrichments to be performed on the raw data items in the clustered data structures. The system may then search, group, or filter the raw data items based on the analyst-defined dossier format, as well as add enrichments to the data.

Abstract: Systems and methods are provided for managing datasets and source code of a deployment pipeline. A system obtains a deployment pipeline being associated with one or more datasets and source code, and obtains one or more deployment pipeline cleaning rules. The system applies the one or more deployment pipeline cleaning rules to the deployment pipeline, to identify issues the one or more datasets and issues associated with the source code, and cause generation of a graphical user interface indicating identified issues.

Abstract: Methods, systems and computer programs for verifying permissioning rights to one or more data resources associated with a data processing platform (DPP) are disclosed. An exemplary method comprises receiving an assertion statement identifying a user, a data resource and an operation performable with respect to the data resource; in response to receiving the assertion statement, generating a hierarchical representation of an access control list for the data resource identified in the statement and evaluating the hierarchical representation against a current state of permissions to determine if the received assertion statement is true or false in relation to said data resource identified in the assertion statement; in response to determining that the assertion is false, generating an error message for output.

Abstract: Methods, systems and computer programs for verifying permissioning rights to one or more data resources associated with a data processing platform (DPP) are disclosed. An exemplary method comprises receiving an assertion statement (AS) identifying a user, a data resource and an operation performable with respect to the data resource, the operation comprising a read operation or a view operation, and applying the AS to a network database storing an access control list defining, for each of a plurality of data resources associated with the DPP, one or more users having permission to perform one or more operations on the respective data resource, wherein applying the AS is effective to determine validity of the AS in relation to the data resource identified in the AS. If the assertion is false, an error message is generated for output; if the assertion is true, the read operation or the view operation is executed.

Abstract: Embodiments of the present disclosure relate to a data analysis system for grouping and enriching data items for presentation to an analyst through a user interface. Data items from one or more data sources are combined into memory-efficient clustered data structures, which may be stored as one or more data tables in a database. Analysis and scoring of those clustered data structures can be performed by utilizing various criteria or rules to generate scores, reports, alerts, or conclusions that may aid an analyst in evaluating the clustered data structures. The analysis and scoring may also be added to the clustered data structures which are stored as one or more data tables in a database. The analyst may be prompted to create a dossier format or specification and to additional enrichments to be performed on the raw data items in the clustered data structures. The system may then search, group, or filter the raw data items based on the analyst-defined dossier format, as well as add enrichments to the data.

Abstract: Embodiments of the present disclosure relate to a data analysis system for grouping and enriching data items for presentation to an analyst through a user interface. Data items from one or more data sources are combined into memory-efficient clustered data structures, which may be stored as one or more data tables in a database. Analysis and scoring of those clustered data structures can be performed by utilizing various criteria or rules to generate scores, reports, alerts, or conclusions that may aid an analyst in evaluating the clustered data structures. The analysis and scoring may also be added to the clustered data structures which are stored as one or more data tables in a database. The analyst may be prompted to create a dossier format or specification and to additional enrichments to be performed on the raw data items in the clustered data structures. The system may then search, group, or filter the raw data items based on the analyst-defined dossier format, as well as add enrichments to the data.

Abstract: Methods, systems and computer programs for verifying permissioning rights to one or more data resources associated with a data processing platform (DPP) are disclosed. An exemplary method comprises receiving an assertion statement (AS) identifying a user, a data resource and an operation performable with respect to the data resource, the operation comprising a read operation or a view operation, and applying the AS to a network database storing an access control list defining, for each of a plurality of data resources associated with the DPP, one or more users having permission to perform one or more operations on the respective data resource, wherein applying the AS is effective to determine validity of the AS in relation to the data resource identified in the AS. If the assertion is false, an error message is generated for output; if the assertion is true, the read operation or the view operation is executed.

Abstract: Methods, systems and computer programs for verifying permissioning rights to one or more data resources associated with a data processing platform are disclosed, performed using one or more processors. In an example method, the method comprises receiving, from a client device, an assertion statement identifying a user, a data resource and an operation performable with respect to the data resource. Another operation comprises applying the received assertion statement to a network database storing an access control list defining, for each of a plurality of data resources associated with the data processing platform, one or more users having permission to perform one or more operations on the respective data resource, wherein applying the assertion statement is effective to determine if the received assertion statement is true or false in relation to said data resource identified in the assertion statement. In the event that the assertion is false, an error message may be generated for output.