Abstract: For example, a data set comprising a plurality of data fields, including at least one field containing personal information, can be received. Meta-information for the data set can be reviewed, which includes a categorization for the data set comprising a first parameter specifying field data type, and, for fields comprising personal information, a second parameter specifying personal data consent information. The data set may be converted into a columnar data storage format using the meta-information, and the at least one data field comprising personal information may be stored in at least one column marked as comprising personal information, and at least one personal information privacy control may be applied to the at least one marked column.

Abstract: Techniques and solutions are described for facilitating data archival, including for improving compliance with retention policies and legal requirements. Data objects can be assigned an expiration date based on properties of the data objects and rules associated with such properties. The data objects can be stored in an archive. In some cases, the data objects can be automatically deleted when the expiration date passes. In other cases, the data objects can be manually deleted when the expiration date passes, with deletion not occurring, and an error being generated, if the expiration date has not passed. Unstructured data objects can be associated with structured data objects through association lists, where an association list can be used to delete such unstructured data objects with or without deletion of an associated structured data object, and where the unstructured data objects can be linked with retention policy information of the structured data object.

Abstract: For example, a data set comprising a plurality of data fields, including at least one field containing personal information, can be received. Meta-information for the data set can be reviewed, which includes a categorization for the data set comprising a first parameter specifying field data type, and, for fields comprising personal information, a second parameter specifying personal data consent information. The data set may be converted into a columnar data storage format using the meta-information, and the at least one data field comprising personal information may be stored in at least one column marked as comprising personal information, and at least one personal information privacy control may be applied to the at least one marked column.

Abstract: The user of an application may query a data storage system with a request to access a dataset from a database of the system. The system identifies at least one data access rule that is applicable to the dataset, with the at least one data access rule specifying at least one user group authorized to access a restricted portion of the dataset. The system identifies an authorized access group associated with the application user and compares it to the at least one user group authorized to access the restricted portion of the dataset. If the authorized access group associated with the user does not match one of the at least one user group authorized to access the restricted portion of the dataset, the system assembles a modified dataset based on the dataset and the at least one data access rule and transmits the modified dataset to the application.

Abstract: Techniques and solutions are described for facilitating data archival, including for improving compliance with retention policies and legal requirements. Data objects can be assigned an expiration date based on properties of the data objects and rules associated with such properties. The data objects can be stored in an archive. In some cases, the data objects can be automatically deleted when the expiration date passes. In other cases, the data objects can be manually deleted when the expiration date passes, with deletion not occurring, and an error being generated, if the expiration date has not passed. Unstructured data objects can be associated with structured data objects through association lists, where an association list can be used to delete such unstructured data objects with or without deletion of an associated structured data object, and where the unstructured data objects can be linked with retention policy information of the structured data object.

Abstract: The user of an application may query a data storage system with a request to access a dataset from a database of the system. The system identifies at least one data access rule that is applicable to the dataset, with the at least one data access rule specifying at least one user group authorized to access a restricted portion of the dataset. The system identifies an authorized access group associated with the application user and compares it to the at least one user group authorized to access the restricted portion of the dataset. If the authorized access group associated with the user does not match one of the at least one user group authorized to access the restricted portion of the dataset, the system assembles a modified dataset based on the dataset and the at least one data access rule and transmits the modified dataset to the application.