Enable Cross-Cloud Analytics with S3 Tables and Google BigQuery via IAM
This article details how to integrate Amazon S3 Tables with Google BigQuery, allowing users to query data across AWS and Google Cloud without replication. It addresses common challenges like data duplication, high costs, and synchronization overhead by leveraging managed Apache Iceberg tables in S3. The post is the first in a two-part series, focusing specifically on establishing access control using AWS Identity and Access Management (IAM). Senior engineers and architects running multi-cloud analytics workloads will find this guide valuable for implementing a live, governed dataset solution.
- →Overview of Cross-Cloud Analytics with S3 Tables and BigQuery
- →Addressing Common Multi-Cloud Data Challenges
- →Solution Architecture and Key Components
- →Step-by-Step IAM-based Access Control Setup
Notes (4) ›
- Overview of Cross-Cloud Analytics with S3 Tables and BigQuery
This post explains how to enable cross-cloud analytics, allowing Google BigQuery users to query data directly from Amazon S3 Tables without data copy or duplication. It leverages managed Apache Iceberg tables in S3, integrated with the AWS Glue Data Catalog, and focuses on IAM-based access control.
- Addressing Common Multi-Cloud Data Challenges
The architecture presented addresses several cross-cloud analytics scenarios, including seamless schema evolution, multi-cloud analytics without data duplication, cost optimization for infrequently queried datasets, and decoupled compute across various engines like BigQuery, Redshift, Athena, and SageMaker AI.
- Solution Architecture and Key Components
The solution employs the AWS Glue Iceberg REST Catalog as a bridge, enabling Google BigQuery's Cross-Cloud Lakehouse to sync metadata and directly read Iceberg data files. Key components include Amazon S3 Tables for managed Iceberg tables, AWS Glue Data Catalog for metadata, and Google Cross-Cloud Lakehouse for federated catalog and OIDC-based access.
- Step-by-Step IAM-based Access Control Setup
The article provides a detailed guide on configuring the necessary AWS and Google Cloud components for IAM-based access. This includes setting up Amazon S3 Tables with Glue Data Catalog integration, creating an OpenID Connect (OIDC) identity provider and cross-cloud IAM role in AWS, and finally establishing the federated catalog within Google BigQuery.
https://aws.amazon.com/blogs/big-data/enable-cross-cloud-analytics-with-amazon-s3-tables-and-google-bigquery-part-1-iam-based-access-control/
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