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English(EN) Data Mesh vs. Data Fabric: Key Differences and How the Lakehouse Resolves the Debate

Databricks 阐明数据网格与数据编织架构

Databricks 区分了数据网格(data mesh)和数据编织(data fabric)这两种数据管理架构方法。数据网格将数据所有权去中心化给领域团队,由他们将数据视为产品,从而解决组织瓶颈。相反,数据编织是一个技术驱动的自动化层,通过元数据和机器学习统一分布式数据,解决技术碎片化问题。Databricks 建议,采用 Lakehouse 架构的混合方法,可以通过集中治理实现领域自主性,从而结合两者的优点。 AI

影响 阐明数据管理策略,可能影响企业 AI/ML 基础设施的选择。

排序理由 解释技术概念并比较架构方法的博客文章。

在 Databricks Blog 阅读 →

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Databricks 阐明数据网格与数据编织架构

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报道来源 [1]

  1. Databricks Blog TIER_1 English(EN) ·

    Data Mesh 与 Data Fabric:主要区别以及 Lakehouse 如何解决争论

    Executive Verdict: Organization vs. TechnologyData mesh vs. data fabric hinges on...