Understanding Data Middle Platform: Definition, Construction, Product Selection, and Case Studies
This article explains what a data middle platform is, outlines its construction process, discusses how to choose suitable products, and presents enterprise case studies, offering a comprehensive guide to building and leveraging a data middle platform for big‑data initiatives.
By 大数据技术与架构
Scenario description: This article revolves around what a data middle platform is, how to build it, how to select products, and case studies of enterprise-level data middle platform construction.
Keyword: Data middle platform
What is a Data Middle Platform
A data middle platform refers to a system that, through data technologies, collects, computes, stores, and processes massive amounts of data while unifying standards and definitions. After standardizing data, it forms a standardized data layer that becomes a big‑data asset, enabling efficient services tightly coupled with business processes. This platform reduces duplicate development, eliminates siloed collaboration costs, and provides a differentiated competitive advantage.
How to Build a Data Middle Platform
The data middle platform system encompasses the entire solution framework, including the data technology platform, data development, data models, data assets, and data product applications. By constructing a data middle platform, organizations establish a data asset system that serves business at scale, ensures data quality, and maximizes data value.
Overall planning and phased implementation; the platform evolves through continuous cycles and feedback, distinguishing it from traditional system lifecycle methods.
Components such as distributed big‑data computing platforms, data development suites, data quality management tools, data catalog tools, data model management tools, and API management tools.
A comprehensive implementation process covering requirement gathering, analysis, architecture design, data and application development, deployment, testing, and operations.
How to Choose Data Middle Platform Products
Data Middle Platform Case Studies
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Big Data Technology & Architecture
Wang Zhiwu, a big data expert, dedicated to sharing big data technology.
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