The concept of data middle platform was first proposed by Alibaba. Its purpose is to turn dormant data of enterprises into data assets, thereby realizing the system and mechanism of data value realization. This article will use ProcessOn mind map and flowchart tools to explain what is data middle platform, the value of data middle platform, and the necessary capabilities of data middle platform, and combine some high-quality data middle platform templates to explain.
Around 2016, with the rapid development of the Internet, the demand for data applications increased. In order to quickly respond to business needs, many companies began to have different degrees of chimney-style development models. This chimney-style development led to the data fragmentation of different business lines of the company, resulting in repeated data processing, R&D efficiency, data storage and computing resources. The application cost of big data is getting higher and higher, and it also brings problems such as inconsistent indicator caliber. At the same time, Alibaba put forward the slogan of "data middle platform". Its core is: to avoid repeated data processing, improve data sharing capabilities through data service, and enable data application.
This mind map provides a basic introduction to the data middle platform from four aspects: what is the data middle platform, what is the middle platform, the evolution of the data platform, and the summary of the middle platform, so that everyone can have an introductory understanding of the data middle platform.
The core work of the data center is not to collect and summarize all the data of the enterprise. Its mission is to use big data technology and overall planning to integrate the data assets of the enterprise so that data users can obtain reliable data anytime and anywhere. Therefore, once the data center is built and continuously operated, its value will grow exponentially over time.
The Value of Data Middle Platform
The data middle platform needs to have four core capabilities: data aggregation and integration, data purification and processing, data service visualization, and data value realization, so that corporate employees, customers, and partners can easily apply data.
Essential Capabilities for Enterprise Data Middle Platform
The editor has selected 5 high-quality templates for data center architecture diagrams to provide you with some ideas. If you want to know more, the ProcessOn template community has a lot of resources .
Overall architecture diagram of data center
General data center solution architecture planning
Data center microservice architecture diagram
Big data technology architecture diagram
Panorama of Alibaba Data Center
The challenge brought by the data age is not only the explosive growth of data volume, but more importantly, how to manage, process and utilize this data. Obviously, the traditional big data construction methodology can no longer meet the needs of enterprises. Only then can the use of big data platform development and management tools help enterprises achieve greater development.
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