Amazon Redshift 增加对 Apache Iceberg 物化视图的支持
Amazon Redshift 现在支持创建和刷新 Apache Iceberg 物化视图,从而在多个引擎之间实现高效的数据处理和查询性能。
为什么重要. 数据团队现在可以利用单一引擎来构建端到端的流水线,并共享开放的Iceberg表,而无需承担管理多个引擎的开销。
Amazon Redshift 现在支持创建和刷新 Apache Iceberg 物化视图,从而在多个引擎之间实现高效的数据处理和查询性能。
为什么重要. 数据团队现在可以利用单一引擎来构建端到端的流水线,并共享开放的Iceberg表,而无需承担管理多个引擎的开销。
You can create Iceberg Materialized Views in any region where Redshift Serverless and provisioned Graviton instances are supported.
This adds pipeline orchestration overhead and can introduce semantic differences between engines. Iceberg materialized views deliver value in two ways. First, instead of hundreds of users and teams re-running the same expensive joins and aggregations, and re-scanning source tabl…
Amazon Redshift now supports the creation and refresh of Apache Iceberg materialized views. Materialized views pre-compute expensive joins and aggregations once and store the results in an Apache Iceberg table in Amazon S3 or Amazon S3 table buckets, registered in the AWS Glue D…