What problem does it solve? CloudWatch Logs are difficult to analyze at scale with ad-hoc search tools, and correlating log data with other datasets requires manual exports. This Skill enables SQL-based analysis of CloudWatch Logs exported as Apache Iceberg tables in S3 Tables, queryable through Amazon Athena. ## Core Features & Use Cases - SQL on Exported Logs: Query 24+ AWS vended data sources including VPC Flow Logs, WAF logs, CloudFront access logs, and EKS audit logs using standard Athena SQL. - Integration Setup & Verification: Create the S3 Tables integration, associate specific or wildcard data sources, and verify Lake Formation permissions. - Cross-Dataset Correlation: Join CloudWatch log tables with S3 metadata or business tables across catalogs for deeper investigations. - Use Case: A security engineer investigating rejected network traffic runs SQL against the amazon_vpc__flow namespace to find the top rejected connections by bytes, then correlates source IPs with S3 access records. ## Quick Start Ask the assistant to check whether the aws-cloudwatch table bucket exists in your region and list the available log namespaces for querying.