AWS Lake Formation is used to centrally manage and secure data for analysis and machine learning.
It allows fine-grained access control and encompasses data security using the AWS Glue Data Catalog.
In this two-part series, the article explores how to integrate custom applications or data processing engines with Lake Formation using third-party service integration.
The article explains the steps to enforce Lake Formation policies within custom data applications by invoking APIs such as sts:AssumeRole, glue:GetUnfilteredTableMetadata, glue:GetUnfilteredPartitionsMetadata, lakeformation:GetTemporaryGlueTableCredentials, and lakeformation:GetTemporaryGluePartitionCredentials.
The article further explains how IAM roles can be used for an external application to access resources in an Lake Formation environment.
Lambda serves as an external trusted engine in this instance, and we also explore an architecture diagram that leverages the aforementioned APIs.
The article also covers the prerequisites for deploying and testing the solution and provides instructions on how to test the Lambda function.
Finally, the article presents additional considerations and concludes by stating that this exploration serves as a foundation for developing your own custom applications or data processing engines that need to operate on an Lake Formation protected data lake.