Speed up Redshift queries on S3 Tables with schemas, materialized views, and compaction
The post shows three ways to speed up Amazon Redshift queries on S3‑backed Apache Iceberg tables: using external schemas to shorten SQL, materialized views that cache results in Redshift, and S3 Tables compaction to align file layout with query patterns. Together they cut scan time and lower costs for dashboards and ad‑hoc analysis.