Understanding Data Middle Platform: Layers, Architecture, and Implementation Methodology
The article explains the concept of a data middle platform, detailing its three-layer structure—data model, data service, and data development—illustrates how data modeling enables cross-domain integration, how services encapsulate data for flexible consumption, and how development tools support customized data applications, using a telecom operator example.
The article introduces the concept of a data middle platform (数据中台), which aims to achieve data layering and horizontal decoupling, consolidating common data capabilities for the organization.
It proposes a three‑layer architecture:
Data Model : Enables cross‑domain data integration and knowledge accumulation through data modeling.
Data Service : Encapsulates and exposes data, allowing rapid and flexible fulfillment of upper‑layer application requirements.
Data Development : Provides tools to meet personalized data and application needs.
An example from a telecom operator illustrates these layers, showing how the middle platform integrates various data sources and serves them to downstream services.
The article then outlines a practical methodology for designing a data middle platform architecture, guiding readers on how to construct the platform, define data models, build services, and leverage development tools to support business scenarios.
Additional resources and related articles on distributed architecture, transaction solutions, and micro‑service design are linked for further reading.
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