COURSE DESCRIPTION
Welcome to the Amazon Relational Database Service (RDS) course! Amazon RDS is a managed relational database service that makes it easy to set up, operate, and scale databases in the cloud. It provides cost-efficient and resizable capacity while automating time-consuming administrative tasks such as hardware provisioning, database setup, patching, and backups. Whether you are a database administrator, developer, or data architect, mastering Amazon RDS will enable you to manage relational databases efficiently and securely in the AWS cloud.
In this course, you will learn how to effectively use Amazon RDS to deploy, manage, and scale relational databases in the cloud. You will explore the various database engines supported by RDS, understand how to optimize performance, and learn how to secure and back up your databases. This course is ideal for those looking to enhance their database management skills and utilize AWS’s managed database solutions to build scalable and high-performing applications.
Course Objectives:
- Introduction to Amazon RDS
- Understanding RDS Database Engines: MySQL, PostgreSQL, MariaDB, Oracle, SQL Server, and Amazon Aurora
- Deploying and Configuring RDS Instances
- Managing RDS Storage, Backups, and Snapshots
- RDS Performance Optimization and Best Practices
- Securing RDS Databases with Encryption and Access Controls
- High Availability and Failover Strategies with Amazon RDS
- Automating Administrative Tasks with Amazon RDS
- Monitoring and Logging RDS Activities
- Cost Management and Optimization for Amazon RDS
- Real-World Use Cases and Scenarios for Amazon RDS
Requirements
- Basic knowledge of AWS services and cloud computing
- Familiarity with relational database concepts and SQL
- Understanding of database management principles
Features
- Comprehensive overview of Amazon RDS features and capabilities
- Hands-on labs for deploying and managing RDS instances
- In-depth exploration of different RDS database engines
- Performance tuning and optimization techniques
- Strategies for backup, recovery, and disaster recovery planning
Target audiences
- Database administrators and developers
- Cloud architects and engineers
- IT professionals and system administrators
- Data scientists and data engineers
- Anyone interested in cloud-based relational database management