Author: Zen and the Art of Computer Programming
1 Introduction
On January 2, 2021, the "2021 Digital Economy Developers Summit" was held in Beijing. EETOP attended the summit as the first guest and released the “13th Five-Year Plan” data-driven intensity report. Among them, the construction of data middle platform is the theme. This report was hosted by EETOP Vice President Li Yihang and High Energy Yunji CTO Qiu Chuangwei, and the first five companies participated in the sharing.
"Data Mart" is a new term that has emerged in recent years with the revolution of new technologies such as the Internet, mobile Internet, and the Internet of Things. It corresponds to "Data Lake" and refers to a data warehouse. Internal data integration points. In 2020, Huawei officially became the first in the world to establish dozens of data centers with Huawei as the core, providing "billions of ultra-broadband traffic, millions of 4K surveillance cameras, 100,000-level data storage space, and million-level computing Resources” global data service. The data middle platform emerged at the historic moment. It provides a self-service data service network for companies in various industries, helping companies better serve customer needs by connecting various data sources, aggregating data, building data platforms, promoting data governance, implementing data applications and other functions. . This article will elaborate on the definition, advantages, core technologies and construction process of the data middle platform.
2.Definition
The data middle platform refers to a unified, complete and efficient data service system for all users based on big data, cloud computing, artificial intelligence and other technologies. It is a support system with comprehensive capabilities such as data collection, processing, processing, analysis, display, decision-making and output. It can support the collection, storage, processing, analysis, mining and presentation of massive data, providing information between different departments. Sharing and collaboration provide effective support.
3. Concepts and terminology
3.1 Characteristics of data center
- The data center is an organic integration of data centralization and data integration, integrating data collection, processing, processing, analysis, display, decision-making and output functions;
- The data center is a self-service data service network for all users, which can quickly respond to market changes and user needs;