Overview of AWS Database
The AWS Database Training course offered by Stalwart Learning is designed to equip participants with the knowledge and skills required to work with databases on the AWS cloud platform.
Throughout the training, participants will learn about AWS database services such as Amazon RDS, Amazon DynamoDB, Amazon Aurora, and Amazon DocumentDB, among others. They will gain hands-on experience with database design, deployment, configuration, management, and optimization on the AWS cloud platform.
The course will cover various aspects of database management on AWS, including backup and recovery, high availability, security, and performance tuning. Participants will learn how to use AWS database services for various applications, such as web applications, mobile applications, gaming, and IoT, among others.
The training will also cover best practices for managing databases on AWS, including cost optimization, compliance considerations, and integration with other AWS services. Participants will gain practical experience with AWS database services through use cases, case studies, and practical exercises.
By the end of the training, participants will have a thorough understanding of AWS database services and their applications in various industries. They will also be well-prepared to take the AWS Certified Database – Specialty certification exam, which will demonstrate their proficiency in database management on the AWS cloud platform.
This AWS Database Training program is ideal for database administrators, database developers, cloud architects, and IT professionals who want to expand their skills and knowledge in database management on the AWS cloud platform.
Duration
24 Hours
Module 1: Introduction to AWS Databases
- Overview of AWS database services and features
- Understanding the AWS database ecosystem
- Choosing the right database service for your needs
- Exploring the benefits of using AWS databases
Module 2: Amazon RDS (Relational Database Service)
- Introduction to Amazon RDS and its key features
- Setting up and managing RDS database instances
- Database engine options: MySQL, PostgreSQL, Oracle, SQL Server
- Scaling and performance optimization with Amazon RDS
Module 3: Amazon DynamoDB
- Introduction to Amazon DynamoDB and NoSQL databases
- Creating and managing DynamoDB tables
- Designing efficient data models for DynamoDB
- Querying and indexing data in DynamoDB
Module 4: Amazon Redshift
- Introduction to Amazon Redshift and data warehousing
- Creating and managing Redshift clusters
- Data loading and transformation in Redshift
- Query optimization and performance tuning in Redshift
Module 5: Amazon DocumentDB
- Introduction to Amazon DocumentDB and MongoDB compatibility
- Setting up and managing DocumentDB clusters
- Schema design and data modeling in DocumentDB
- Querying and indexing data in DocumentDB
Module 6: Amazon Neptune
- Introduction to Amazon Neptune and graph databases
- Creating and managing Neptune database instances
- Graph data modeling in Neptune
- Querying and traversing graphs in Neptune
Module 7: Amazon ElastiCache
- Introduction to Amazon ElastiCache and in-memory caching
- Creating and managing ElastiCache clusters
- Using ElastiCache with popular caching engines like Redis and Memcached
- Caching strategies and best practices
Module 8: Amazon DMS (Database Migration Service)
- Introduction to Amazon DMS and database migration concepts
- Planning and executing database migrations with DMS
- Performing ongoing replication and monitoring with DMS
- Migrating databases to AWS using DMS
Module 9: Advanced Database Topics
- Database backup and restore strategies on AWS
- High availability and disaster recovery options for databases
- Security and access control for AWS databases
- Database performance monitoring and optimization
Module 10: AWS Database Exam Preparation
- Reviewing exam objectives and test-taking strategies
- Practicing with sample questions and scenarios
- Final exam review and preparati