AWS and Google Collaborate on Cross-Cloud Analytics with Amazon S3 Tables

AWS and Google have collaborated to enable cross-cloud analytics by connecting Amazon S3 Tables to Google BigQuery. This is achieved through Amazon S3's capability, which uses access control based on AWS Identity and Access Management (IAM) policies for data access.

In the first part of this series, we demonstrated how to connect Google BigQuery to Amazon S3 Tables using IAM-based access control. However, this approach may not be ideal when multiple engines need different levels of access to the same tables or when you want to manage grants centrally without touching IAM policies every time a new consumer comes along.

A more suitable solution is to use AWS Lake Formation, which manages fine-grained permissions and vends temporary, scoped credentials to the requesting engine. This approach is particularly useful for cross-cloud analytics scenarios where multiple engines need different levels of access to the same tables.