AWS Glue DataBrew now provides detection and data masking transformations for Personally Identifiable Information (PII)
AWS Glue DataBrew now provides customers the ability to mask Personally Identifiable Information (PII) data during data preparation. With just a few clicks, you can detect PII data as part of a data profiling job and gather statistics such as number of columns that may contain PII and potential categories, then use built-in data masking transformations including substitution, hashing, encryption, decryption, and more, all without writing any code. You can then use the cleaned and masked datasets downstream for analytics, reporting, and machine learning tasks.
AWS Glue DataBrew now provides customers the ability to mask Personally Identifiable Information (PII) data during data preparation. With just a few clicks, you can detect PII data as part of a data profiling job and gather statistics such as number of columns that may contain PII and potential categories, then use built-in data masking transformations including substitution, hashing, encryption, decryption, and more, all without writing any code. You can then use the cleaned and masked datasets downstream for analytics, reporting, and machine learning tasks.
AWS Glue DataBrew is a visual data preparation tool that makes it easy to clean and normalize data using over 250 pre-built transformations, all without the need to write any code. You can automate filtering anomalies, converting data to standard formats, correcting invalid values, and other tasks.
To get started with DataBrew, visit the AWS Management Console or install the DataBrew plugin in your Notebook environment. To learn more, view this getting started video and refer to the DataBrew documentation.