Author: Zen and the Art of Computer Programming
With the rapid development of Internet websites, mobile applications, etc., website traffic is showing an explosive growth trend, and the demand for business data collection and storage is becoming stronger and stronger. In the face of massive data, how to effectively collect, store, and clean data is the common concern of researchers and engineers.
Data Warehouse as a Service is a cloud computing service model. By deploying data collection, storage, cleaning and other links in the cloud, it realizes automatic data management and rapid response, thereby reducing operating costs and improving work efficiency. Efficiency, increase the value of data and other purposes. The technical solution of the data center involves multiple links such as big data platform design, data collection, storage, cleaning, etc. It is the necessary infrastructure for enterprises to build data-driven products. Generally speaking, the goal of the data center is to optimize the technology in data collection, storage, cleaning, etc., and improve the efficiency, accuracy, and integrity of data processing through highly independent configuration of data quality, business rules, and data analysis capabilities. , reliability, and provide the company with a more competitive customer experience. Therefore, as a cloud computing service, the data center is of great significance to the vast number of technical teams, product managers, data scientists, architects, database administrators, etc. The article will elaborate on the role, structure, key links, advantages and disadvantages, best practices and challenges of the data center. Hope to help more businesses and individuals benefit.
2. Explanation of basic concepts and terms
Definition of data center
The data center refers to a