云原生数据仓库AnalyticDB MySQL版企业级的相关内容

文章 2022-09-05 来自：开发者社区

【实操系列】基于AnalyticDB PostgreSQL数据共享实现企业级跨多业务的敏捷分析

业务介绍背景企业数据分析中存在着不同类型的使用场景，如‒ 数据工程师：维护ETL（ELT）数据链路，包含实时的数据链路，定时的批处理任务等；‒ 业务分析师：对数据进行交互式分析，对成熟的分析模型产品化（BI）并定时刷新等任务；‒ 业务人员：通过BI工具对成熟的分析模型下的业务运营数据进行业务分析；‒数据科学家：在特征仓库中寻找需要的特征，并按目标进行模型搭建和训练；这些使用场景对于底层数....

问答 2022-03-30 来自：开发者社区

云原生数据仓库AnalyticDB MySQL版的完备的企业级特性？

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更新时间 2025-04-22 12:38:17

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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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