An enterprise data middle platform is a corporate data asset management platform that implements collection, governance, modeling, analysis and application of multi‑source heterogeneous internal and external enterprise data. It optimizes internal management and improves business performance, while unlocking value through external data collaboration. Once built, the enterprise data middle platform generates data APIs to deliver efficient big‑data analytics and data asset management services for enterprises and their clients.

You should now have a basic understanding of what a data middle‑platform management platform is. Representing a new approach to building enterprise management platforms, it breaks away from traditional function‑oriented and integration‑oriented construction methodologies. In the legacy product‑building workflow, engineers first set up the underlying technical architecture, upon which application functions are later added. Products built in this infrastructure‑driven manner ultimately fail to deliver substantial value to business departments. An application‑centered development mindset holds the key to sustaining an enterprise’s long‑term viability, and the construction of a data middle platform helps enterprises transform their conventional product and application development modes.

The overall technical architecture of the enterprise data middle‑platform management system adopts a cloud‑computing model. It fully cloudifies enterprise data, computing and storage resources, packages and integrates such resources via multi‑tenant technology, and opens them up to provide users with one‑stop big‑data analytics services.

Enterprises leverage big‑data analytics technologies to realize unified collection, computation and storage of massive datasets. Managed under unified data specifications, all internal enterprise data is processed into standardized data. High‑value data is mined to build an enterprise data asset warehouse, which delivers consistent and highly‑available big‑data analytics services.

The enterprise data middle platform features robust data service capabilities: it empowers business departments with a data management workspace, through which users can rapidly access data services including data extraction, data analysis, data push and data back‑flow. It also processes unstructured data via processing, governance, segmentation, modeling and tagging.

Application Scenarios

The enterprise data middle platform not only enables flexible big‑data analytics for enterprises, but also continuously builds enterprise big‑data application capabilities and accumulates data assets and value‑based assets. By exposing data as services to business systems, it infuses data capabilities into all business links, beyond just decision‑making and analysis.