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  1. Flink
  2. FLINK-35187

FLIP-435: Introduce a New Materialized Table for Simplifying Data Pipelines

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      In 1.20, we introduced the Materialized Table in Flink SQL, a new table type designed to simplify both batch and stream data pipelines while providing a consistent development experience. By specifying data freshness and query at creation, the engine automatically derives the schema and creates a data refresh pipeline to maintain the specified freshness. More information about this feature can be found here: [Materialized Table Overview](https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/materialized-table/overview/)
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      In 1.20, we introduced the Materialized Table in Flink SQL, a new table type designed to simplify both batch and stream data pipelines while providing a consistent development experience. By specifying data freshness and query at creation, the engine automatically derives the schema and creates a data refresh pipeline to maintain the specified freshness. More information about this feature can be found here: [Materialized Table Overview]( https://nightlies.apache.org/flink/flink-docs-master/docs/dev/table/materialized-table/overview/ )

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      This is an umbrella issue for FLIP-435: Introduce a New Materialized Table for Simplifying Data Pipelines, see FLIP design doc for more detail: https://cwiki.apache.org/confluence/display/FLINK/FLIP-435%3A+Introduce+a+New+Materialized+Table+for+Simplifying+Data+Pipelines

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              lsy dalongliu
              lsy dalongliu
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