Abstract: Systems and methods for personally identifiable information metadata governance are disclosed. In one embodiment, a method for personally identifiable information (PII) metadata governance may include: (1) receiving, by a PII metadata identification program executed by an electronic device, a data processing flow for a project; (2) retrieving, by the PII metadata identification program, code for the data processing flow from a code repository; (3) identifying, by the PII metadata identification program, potential PII access points in the code; (4) determining, by the PII metadata identification program, that the potential PII access points match PII access points in a PII reference data database; (5) confirming, by the PII metadata identification program, that an individual assigned to the project is entitled access the PII data; and (6) granting, by the PII metadata identification program, access to the PII data to the individual.

Abstract: A data preprocessing system builds transformation scripts for preprocessing datasets for processing by a data analysis system. The data preprocessing system presents various representations of data of a dataset including visual representations, textual representations, or structural representations. The data preprocessing system receives selections of attributes or values based on these representations. The data preprocessing system generates recommendations of transformations based on the attributes or values selected. The data preprocessing system builds a transformation script based on the recommendations of the transformations. The transformation script can be used for preprocessing the dataset for analysis by a data analysis system.

Abstract: A data preprocessing system builds transformation scripts for preprocessing datasets for processing by a data analysis system. The data preprocessing system presents various representations of data of a dataset including visual representations, textual representations, or structural representations. The data preprocessing system receives selections of attributes or values based on these representations. The data preprocessing system generates recommendations of transformations based on the attributes or values selected. The data preprocessing system builds a transformation script based on the recommendations of the transformations. The transformation script can be used for preprocessing the dataset for analysis by a data analysis system.