Handling security-sensitive data (PII and PHI)
Redshift data tokenization is a crucial aspect of data security and privacy within AWS Redshift to protect the confidentiality of critical data. Tokenization involves substituting sensitive information with unique identifiers or tokens, preserving the format and length of the original data without revealing the actual sensitive information. Tokenization is necessary to mitigate the risk of data breaches, comply with regulatory requirements, and maintain customer trust by ensuring their personal information is secure. Leveraging AWS Lambda user-defined functions (UDFs) for data tokenization in Redshift provides a scalable and efficient solution for protecting the data.
In this recipe, we will learn how to create a Lambda UDF to use in Redshift for tokenization.
Getting ready
To complete this recipe, you must have a Redshift cluster with a table in which you need to tokenize its data. You need to have a Cloud9 environment as well...
