選取您的 Cookie 偏好設定

我們使用提供自身網站和服務所需的基本 Cookie 和類似工具。我們使用效能 Cookie 收集匿名統計資料,以便了解客戶如何使用我們的網站並進行改進。基本 Cookie 無法停用,但可以按一下「自訂」或「拒絕」以拒絕效能 Cookie。

如果您同意,AWS 與經核准的第三方也會使用 Cookie 提供實用的網站功能、記住您的偏好設定,並顯示相關內容,包括相關廣告。若要接受或拒絕所有非必要 Cookie,請按一下「接受」或「拒絕」。若要進行更詳細的選擇,請按一下「自訂」。

Characteristics

焦點模式
Characteristics - Data Analytics Lens
此頁面尚未翻譯為您的語言。 請求翻譯

The following are characteristics of a data mesh:

  • Data diversity: Treats data platforms as independent data domains, connecting data domains into the mesh to create business-oriented data products that can support strategic goals. The information persisted in their respective environments comes from different applications or source systems adding to the overall data diversity that analysts and data scientists benefit from.

  • Data democritization: Rather than try to combine multiple domains into a centrally managed data lake, data is intentionally left distributed. By adopting this approach, your organization’s data becomes democratized and becomes assessible to more teams.

  • Data governance: Improve data governance by pushing data access policy down into the data domains. Large enterprise organizations experience challenges when scaling their data governance to the number of subscribers because this is managed centrally. A data mesh allows for disparate teams to inherit the data governance policy from the data producer domain.

  • Searchability: Establishing a central mechanism for data discovery is valuable for analysts and researchers to know what data is available. An enterprise-level data catalog contains the metadata of the organization’s data assets. The data catalog contains data attributes, data quality, data classification, and a business glossary of the data.

  • Data sharing: Provide self-service data sharing features to allow domain owners to grant access to consumers.

  • Increased flexibility: Increase data flexibility by implementing an enterprise data mesh. A data mesh provides organizations greater agility as data becomes widely available and supports faster data-driven business decisions.

  • Reusability: A data mesh increases the adoption of reusable data pipeline design patterns to share data across your organization.

下一個主題:

Design

上一個主題:

Data mesh
隱私權網站條款Cookie 偏好設定
© 2025, Amazon Web Services, Inc.或其附屬公司。保留所有權利。