vivo数据库工程师
社招全职5年以上研发类地点:深圳状态:招聘
任职要求
1、计算机相关专业全日制本科及以上学历,5年以上数据库运维DBA工作经验; 2、精通MySQL、Redis相关原理、备份恢复、性能优化、故障处理,有丰富的MySQL、Redis运维经验; 3、熟悉MongoDB、TiDB、Elasticsearch、OceanBas…
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工作职责
1、负责MySQL、Redis、Elasticsearch、MongoDB、OceanBase等数据库运维管理工作,包括运维支撑、性能优化、故障处理、容量规划等 2、负责业务数据库选型、架构设计,解决业务数据库问题,提高业务高可用能力和稳定性, 3、与存储研发团队协作,设计和实现数据库产品解决方案、数据库运维平台能力,支持业务需求 4、学习和引入数据库新版本、新技术、新工具,支持业务发展需求
包括英文材料
学历+
MySQL+
https://juejin.cn/post/7190306988939542585
这是一篇 MySQL 通关一篇过硬核经验学习路线,包括数据库相关知识,SQL语句的使用,数据库约束,设计等。
[英文] MySQL Tutorial
https://www.mysqltutorial.org/
your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.
https://www.youtube.com/watch?v=5OdVJbNCSso
MySQL SQL tutorial for beginners
https://www.youtube.com/watch?v=7S_tz1z_5bA
This beginner-friendly course teaches you SQL from scratch.
Redis+
[英文] Developer Hub
https://redis.io/dev/
Get all the tutorials, learning paths, and more you need to start building—fast.
https://www.runoob.com/redis/redis-tutorial.html
REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统,是跨平台的非关系型数据库。
https://www.youtube.com/watch?v=jgpVdJB2sKQ
In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.
MongoDB+
https://learnxinyminutes.com/mongodb/
MongoDB is a NoSQL document database for high volume data storage.
https://studio3t.com/academy/#courses
The fastest way to learn MongoDB
https://www.youtube.com/watch?v=c2M-rlkkT5o
This video will give you and introduction to MongoDB in 1 Hour. Afterwards I recommend exploring aggregation, replication, and sharding.
https://www.youtube.com/watch?v=ExcRbA7fy_A&list=PL4cUxeGkcC9h77dJ-QJlwGlZlTd4ecZOA
You'll learn how to use MongoDB (a NoSQL database) from scratch. You'll also learn how to integrate it into a simple Node.js API.
TiDB+
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
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