Database failures can cost enterprises millions of dollars per hour, while poor capacity planning leads to unexpected outages and budget overruns. This Short Course was created to help data engineering professionals accomplish advanced database administration that ensures both reliability and optimal performance.

Automate, Analyze, and Database Administration
本课程是 DataOps: Automation & Reliability 专项课程 的一部分

位教师:Hurix Digital
访问权限由 Coursera Learning Team 提供
您将学到什么
Proactive automation with validation is the foundation of reliable data systems.
Backup processes must include integrity verification to be trustworthy .
Performance issues in high-concurrency systems require systematic diagnosis using database internals rather than guesswork
Effective capacity planning transforms historical patterns into actionable forecasts that prevent resource shortages and waste.
您将获得的技能
- Performance Tuning
- Problem Management
- Disaster Recovery
- Database Administration
- SQL
- Capacity Planning
- Database Management
- Resource Planning
- Data Validation
- Forecasting
- Data Integrity
- Demand Planning
- Operational Databases
- Application Performance Management
- Database Architecture and Administration
- Data Access
- Data Maintenance
- Performance Analysis
- Relational Databases
- 技能部分已折叠。显示 11 项技能,共 19 项。
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有3个模块
Learners will implement and validate automated database backup systems with integrity verification to ensure reliable data protection in production environments.
涵盖的内容
3个视频1篇阅读材料2个作业
Learners will systematically diagnose database performance issues by analyzing lock contention patterns and implementing targeted resolution strategies for high-concurrency environments.
涵盖的内容
2个视频1篇阅读材料2个作业
Learners will analyze historical database growth patterns and create data-driven capacity forecasts that support proactive infrastructure planning and budget decisions.
涵盖的内容
2个视频1篇阅读材料2个作业1个非评分实验室
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