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用户行为数据通常具有庞大的数据量，存储成本较高，且缺乏统一的格式，导致处理难度较大。常用的宽表模型虽查询效率高，但冗余度高、存储空间大、维护复杂，更新慢。本文基于Flink+MongoDB+Hologres更好地实现宽表的数据分析，以游戏行业的用户行为数据分析为示例，构建用户行为数据宽表进行数据分析的方案。

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通过Flink将数据批量导入到Hologres

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阿里云文档 2025-01-24

实时数仓Hologres数据摄入YAML 连接器

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阿里云文档 2024-12-23

开发及部署基于Hologres连接器的 Flink DataStream作业

Hologres与Flink全托管高度兼容，多数情况下您可以使用Flink SQL的方式，声明Hologres的源表、维表及结果表，进而使用SQL表达数据的处理逻辑。但对于特殊业务场景，Flink SQL方式无法满足业务计算时，您需要使用DataStream的方式读写数据。本文以VVR-8.0.8-Flink-1.17版本为例，为您完整地展示如何调试和开发基于Hologres连接器的DataStr...

问答 2024-06-07 来自：开发者社区

Hologres用Flink或者holo client往binlog表里一次写入多条重复的数据...

Hologres用Flink或者holo client往binlog表里一次写入多条重复的数据中间数据的binlog会丢失

问答 2023-08-02 来自：开发者社区

Hologres中实时flink连接器不主持读取 holo的视图吗？物化视图也不支持吗？

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跳转至： GO

更新时间 2024-06-08 12:36:52

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实时同步

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功能对比

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成本优化

作业自动调优