Amazon Redshift announces support for automatic refresh of materialized views on Apache Iceberg tables
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Amazon Redshift has introduced a new feature that enables automatic refresh of materialized views on Apache Iceberg tables in Amazon S3 data lakes.
- Automatic refresh occurs when new data is added or deleted from Apache Iceberg tables
- Supports building more complex and flexible analytics pipelines
- Works with external tables stored in Amazon S3 buckets
- Feature is immediately available for use
- Detailed documentation available in Amazon Redshift Materialized Views guide
This enhancement simplifies data lake analytics by automatically updating materialized views when underlying data changes, reducing manual maintenance and improving data freshness.
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