Author: Zen and the Art of Computer Programming
1 Introduction
With the rapid development of the Internet and the emergence of cloud computing and containerization technologies, enterprises have increasingly relied on distributed cluster environments for data processing. But the ensuing question is how to ensure that the data in the cluster are stored and queried independently of each other and accurately? In this case, data governance is particularly important. How to ensure that the data in the data center can be quickly, safely and effectively migrated to other data centers or even remote computer rooms? Or how to improve data quality through data governance? In response to this problem, this article will start from the perspective of data scalability, combined with actual cases, and share the methodology of data governance and data governance optimization. The article mainly revolves around the following five aspects:
Ⅰ Data scalability: How to achieve high availability of data services by means of data balance, number of copies, etc.
Ⅱ Data Migration: How to realize data migration between data centers and across networks, and ensure data integrity and consistency.
Ⅲ Data disaster recovery: How to achieve high availability of data centers through redundant backup, remote multi-active and other methods.
Ⅳ Data query: How to build an accurate and efficient data query system according to business characteristics and demands, so as to effectively reduce user waiting time.
Ⅴ Data quality: How to improve data quality, reduce the risk of data loss, and improve data analysis efficiency and capabilities.
2. Related concepts and terms
(1) Data scalability
Data scalability (Data Scalability) is a broad concept, including horizontal expansion (such as adding servers or disks), vertical expansion (such as increasing resource utilization or processing performance); it also includes data sharing among multiple clusters in the data center, such as shared cache, distributed file system, etc. Simply put, it is the amount of data that can grow rapidly.
Commonly used terms are:
1. Horizontal expansion&#x