note
- Many enterprises prefer centralized data collection and storage, layered construction, and centralized management of operational data assets. Ali's middle office starts from the management point of view, and uses the middle office business department to centralize the functions of multiple departments such as data search, technology and products, and data sharing.
Article Directory
1. Data center
- Data center: a unified data management platform established within the enterprise, which integrates the data of various business system departments to make efficient use of data
1. Pain points of traditional enterprise system architecture
- Traditional model, data islands.
2. Data Center Architecture
- After data collection, structuring, and unified index caliber, it is stored in various databases, data warehouses or data lakes
- Data center and business center complement each other
3. Middle-end application
For example, it is applied in the financial industry to ensure data timeliness and data quality.
2. Typical structure of data center
The data center is to provide value for the data front-end business, such as search, recommendation, BI report, and data large screen are all data front-end. The figure below shows Netease’s strictly selected data middle platform system:
such as the most typical various e-commerce retail industries, data middle platform solutions:
Reference
[1] Summary of some experience in the construction and implementation of data center platform
[2] One article to understand the data center architecture system
[3] A group - business data governance system thinking and practice
[4] 2021 China Data Center Industry White Paper