云原生数据仓库AnalyticDB MySQL版维度事实表的相关内容

阿里云文档 2025-12-16

finder_group_funnel函数详解与多维度漏斗分析实践-实时数仓 Hologres-阿里云

维度分组漏斗函数支持按照不同的维度对结果进行分组展示，并指定事件的关联属性。例如按天分组，按国家、IP分组等，以实现更细粒度的漏斗分析。一个用户只能出现在一个分组中，如果不属于任何一个分组，则会被分配到“unreach”组。

文章 2024-01-18 来自：开发者社区

离线数仓6.0--- 数据仓库 ER模型-范式理论，维度模型、维度建模理论之事实表、维度建模理论之维度表

这是本人的学习过程，看到的同道中人祝福你们心若有所向往，何惧道阻且长；但愿每一个人都像星星一样安详而从容的，不断沿着既定的目标走完自己的路程，一起做星光下的赶路人；最后想说一句君子不隐其短，不知则问，不能则学。如果大家觉得我写的还不错的话希望可以收获关注、点赞、收藏（谢谢大家）1.1 ER模型缺点ER模型不适合数据仓库的建模操作，ER模型在创建的时候强调我们在分析问题是如何构建对象，如何构建对象....

问答 2021-12-12 来自：开发者社区

数仓当中事实表设计原则使用退化维度提高事实表的易用性是什么意思？

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更新时间 2024-05-01 14:34:42

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云原生数据仓库AnalyticDB MySQL版

基于湖仓一体架构打造的实时湖仓，高度兼容MySQL，毫秒级更新，亚秒级查询。不论在数据湖中的非/半结构化数据，还是在数据库中的结构化数据，都能同时完成高吞吐离线处理和高性能在线分析，做到数据湖的规模，数据库的体验。

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在数据驱动决策的时代，一款性能卓越的数据分析引擎不仅能为企业提供高效的数据支撑，同时也解决了传统 OLTP 在数据分析时面临的查询性能瓶颈、数据不一致等挑战。本方案推荐通过 AnalyticDB MySQL + DTS 来解决 MySQL 的数据分析性能问题。

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