实时计算 Flink版cdc企业级数据集成方案的相关内容

阿里云文档 2025-09-11

基于Flink CDC构建复杂业务场景案例

本文为您介绍在源端表结构变更、数据逻辑增强（注入元数据/计算列/逻辑删除）、异构路由（分表合并、整库同步）及精准管控（表过滤、时间戳启动）等复杂业务场景下使用Flink CDC数据摄入作业的最佳实践。

阿里云文档 2025-09-10

Flink CDC 实现企业级实时数据同步

传统的数据集成通常由全量和增量同步两套系统构成，在全量同步完成后，还需要进一步将增量表和全量表进行合并操作，这种架构的组件构成较为复杂，系统维护困难。本方案提供 Flink CDC 技术实现了统一的增量和全量数据的实时集成。

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阿里云文档 2025-08-07

Flink CDC作业结构

本文将向您介绍基于Flink CDC的数据摄入作业的基本结构及重要参数。

阿里云文档 2025-08-07

Flink CDC Transform模块

本文向您介绍Flink CDC数据摄入作业的 Transform 模块支持的语法规则及内置函数。

阿里云文档 2025-08-07

Flink CDC Pipeline模块

本文向您介绍Flink CDC数据摄入作业支持的全局配置项。您可以在pipeline模块中配置以下选项。

文章 2024-01-22 来自：开发者社区

CDC 数据实时集成的挑战首先介绍一下 CDC 技术，CDC 就是 Change Data Capture 的缩写，意思是变更数据捕获。如果有一个数据源的数据随着时间一直在变化，这种能够捕获变更数据的技术就称之为 CDC。但是在真正的业务生产实践过程中，通常说的 CDC 都是指面向数据库的变更，用于捕获数据库中某一张表业务，不断地写入的新数据、更新的数据、甚至删除的数据。我们在谈到捕获变更数据的....

文章 2023-11-29 来自：开发者社区

基于 Flink CDC 打造企业级实时数据集成方案

本文整理自阿里云智能 Flink 数据通道负责人，Flink CDC 开源社区负责人，Flink PMC Member & Committer 徐榜江在 2023 云栖大会开源大数据专场的分享。本篇内容主要分为三部分：一、CDC 数据实时集成的挑战二、Flink CDC 核心技术解读三、基于 Flink CDC 的企业级实时数据集成方案 CDC 数据实时集成的挑战...

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实时计算Flink版

阿里云实时计算Flink版(Alibaba Cloud Realtime Compute)，完全兼容开源的Apache Flink，比开源性能提升2～3倍，提供了完整的告警、监控、日志的解决方案、提升开发效率且无运维成本，并有社区专家提供技术支持。

立即开通

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产品文档

实时同步

MySQL 到 Hologres

Kafka 到 Hologres

功能对比

开源Flink对比

成本优化

作业自动调优