- MySQL 8 for Big Data
- Shabbir Challawala Jaydip Lakhatariya Chintan Mehta Kandarp Patel
- 118字
- 2021-08-20 10:06:06
Scalability
Day by day, the mountain of data is growing because of extensive use of technology in numerous ways. Due to this, load average is going through the roof. For some cases, it is unpredictable that data cannot exceed up to some limit or number of users will not go out of bounds. Scalable databases would be a preferable solution so that, at any point, we can meet unexpected demands to scale. MySQL is a rewarding database system for its scalability, which can scale horizontally and vertically; in terms of data and load of application queries across multiple MySQL servers is quite feasible. It is pretty easy to add horsepower to the MySQL cluster to handle the load.
推薦閱讀
- 手機安全和可信應用開發(fā)指南:TrustZone與OP-TEE技術詳解
- 深入淺出Java虛擬機:JVM原理與實戰(zhàn)
- HTML5 移動Web開發(fā)從入門到精通(微課精編版)
- Mastering Python Scripting for System Administrators
- Java Web及其框架技術
- Spring Boot進階:原理、實戰(zhàn)與面試題分析
- Express Web Application Development
- Practical Microservices
- 零基礎C#學習筆記
- Functional Python Programming
- Mastering OpenStack
- 軟件測試技術
- JavaWeb從入門到精通(視頻實戰(zhàn)版)
- 零基礎PHP從入門到精通
- Python算法交易實戰(zhàn)