Use AWS Glue Data Catalog views to analyze data

This article explains how to use the new AWS Glue Data Catalog views feature to create and manage views across different data analytics engines like Amazon Athena, Amazon Redshift, and Spark SQL on Amazon EMR. It demonstrates a step-by-step process of creating a view, masking data within the view, and granting access to other users to query the masked view.

Specifically, the article covers:

• Prerequisites for creating views in AWS Glue Data Catalog
• Deploying a CloudFormation template to create a Lake Formation database and table
• Creating a view on the Athena console to mask customer IDs
• Granting access to the masked view to another user
• Querying the masked view from the granted user
• Cleaning up the resources created