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    <title>Delta Lake on 办公AI智能小助手</title>
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      <title>基于配置驱动的Spark SQL ETL与Delta CDC实现</title>
      <link>https://blog.qife122.com/p/%E5%9F%BA%E4%BA%8E%E9%85%8D%E7%BD%AE%E9%A9%B1%E5%8A%A8%E7%9A%84spark-sql-etl%E4%B8%8Edelta-cdc%E5%AE%9E%E7%8E%B0/</link>
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      <description>&lt;h1 id=&#34;基于配置驱动的apache-spark-sql-etl作业与delta-lake-cdc设计&#34;&gt;基于配置驱动的Apache Spark SQL ETL作业与Delta Lake CDC设计&lt;/h1&gt;&#xA;&lt;p&gt;现代数据管道要求灵活性、可维护性和高效的增量处理。将转换逻辑硬编码到Spark应用程序中会导致技术债务和脆弱的管道。配置驱动的方法将业务逻辑与执行分离，允许轻松更改、开发人员和分析师之间的协作，并促进可扩展的ETL工作流。&lt;/p&gt;</description>
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