With the advent of the big data era,database performance optimization has become particularly critical in big data environments.This article focuses on researching the practice and challenges of database performance optimization in big data environments.Firstly,through in-depth analysis of the performance bottlenecks of databases in big data scenarios,a series of effective performance optimization strategies are proposed.Secondly,the paper explores the key optimization techniques for database performance in large-scale data processing and high concurrent access scenarios.Then,it focuses on the challenges of database optimization under the framework of distributed storage and processing,and proposes corresponding solutions.Finally,practical cases are used to verify the practicality and effectiveness of the optimization strategies proposed in this article.
关键词
大数据/数据库性能调优/分布式存储/高并发访问/性能瓶颈
Key words
big data/database performance optimization/distributed storage/high concurrent access/performance bottleneck
维普
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