Author: Zen and the Art of Computer Programming
1 Introduction
As one of the necessary skills for Internet companies in 2020, the importance of Data Intelligence goes without saying. As more and more enterprises regard data as a vital basic business, traditional data processing methods can no longer meet the requirements of the times. How to achieve data-driven, intelligent, and how to effectively manage key data has become a major issue for various enterprises. common problems faced by companies. Therefore, we must uphold the scientific outlook on development, learn advanced technologies, effectively improve the overall capabilities of the data center, and cultivate a team of senior data architects who can take into account architecture, development, and testing. This article aims to help readers understand the definition and function of data center through the analysis of the core technology and principles of data center, combined with actual cases, and has some insights into the key governance methods of data center—data quality construction and data model design comprehensive understanding.
2. Knowledge background
2.1 The concept of data center
Data center is a new organizational form based on cloud computing, big data analysis, machine learning, IoT technology, cloud platform and other emerging technologies. It is a comprehensive system that integrates, cleans, analyzes, makes decisions, and presents massive data to user terminals sex platform. It collects various data from multiple systems in the enterprise to form a central management platform, and realizes data sharing and collaboration across departments, systems, and business scenarios. It is not only a collection of data analysis systems, but also a collection of data governance tools. It solves the processing, analysis, and mining problems of massive data, which greatly promotes the efficiency and competitiveness of enterprises.
2.1.1 Development History of Data Center
The data center evolved from the earliest models of digital twins, intelligent data collection, and data warehouses, and gradually formed a massive data mart independently deployed in each data center. Subsequently, the role of the data center has changed. As the "link" role of data governance and intelligent applications, the goal of the data center is to bring together various data sources to form a unified database to support rapid business response and effective decision-making. In 2017, the British "