AWS Database
Introduction to AWS Databases
AWS offers a range of managed database services that cater to different use cases, including relational, NoSQL, and data warehousing solutions. This module introduces AWS databases, covering core services, features, and use cases for selecting the right database solution.
Overview of AWS Database Services
Learn about the main AWS database services, including Amazon RDS, Amazon DynamoDB, Amazon Aurora, Amazon Redshift, and Amazon Neptune. Understand the key features, benefits, and scenarios for each service to make informed choices for your database needs.
Designing Database Architectures
Discover how to design scalable and efficient database architectures on AWS. Learn about database schema design, data modeling, and best practices for ensuring high availability, performance, and reliability in your database solutions.
Implementing Amazon RDS
Gain insights into implementing Amazon RDS (Relational Database Service). Learn how to create, configure, and manage RDS instances, perform backups and restorations, and optimize performance for relational databases.
Working with Amazon DynamoDB
Explore Amazon DynamoDB, AWS's managed NoSQL database service. Learn about DynamoDB's key features, data modeling, and how to manage tables, indexes, and queries. Understand how to use DynamoDB for scalable and high-performance NoSQL applications.
Utilizing Amazon Aurora
Discover how to use Amazon Aurora, a high-performance relational database compatible with MySQL and PostgreSQL. Learn about Aurora's advanced features, such as automatic scaling and high availability, and how to migrate and manage databases using Aurora.
Data Warehousing with Amazon Redshift
Learn about Amazon Redshift, AWS's data warehousing solution. Understand how to set up and configure Redshift clusters, manage data loading, and optimize queries for large-scale data analysis and reporting.
Graph Databases with Amazon Neptune
Explore Amazon Neptune, a fully managed graph database service. Learn about graph database concepts, use cases for property graphs and RDF graphs, and how to build and query graph databases with Neptune.
Security and Compliance
Understand security and compliance considerations for AWS databases. Learn about encryption, access control, and monitoring practices to ensure the security and compliance of your database solutions.
Monitoring and Performance Tuning
Discover techniques for monitoring and tuning the performance of AWS databases. Learn how to use AWS CloudWatch and other monitoring tools to track performance metrics, identify bottlenecks, and optimize database performance.
Cost Management and Optimization
Understand cost management and optimization strategies for AWS databases. Learn about pricing models for different AWS database services, how to monitor and control costs, and best practices for managing your database budget effectively.
Case Studies and Real-World Applications
Review case studies and real-world applications of AWS databases. Learn from practical examples of how organizations have used AWS database services to build scalable and reliable data solutions to support their business needs.
AWS Database Syllabus
Introduction to AWS Cloud Computing
- Overview of AWS Services
- Benefits of Cloud Computing
- Understanding AWS Global Infrastructure
AWS Database Fundamentals
- Overview of Database Concepts
- Types of Databases in AWS
- Choosing the Right Database Service
Amazon RDS (Relational Database Service)
- Deploying and Managing RDS Instances
- Configuring Database Engines
- Monitoring and Scaling RDS Databases
Amazon DynamoDB
- Understanding NoSQL and DynamoDB Basics
- Creating Tables and Managing Data
- Designing and Optimizing DynamoDB Schemas
Amazon Aurora
- Overview of Aurora Database
- Deploying Aurora Clusters
- Replication and High Availability in Aurora
Amazon Redshift
- Introduction to Data Warehousing
- Creating and Managing Redshift Clusters
- Running Analytics on Redshift
Amazon Neptune
- Introduction to Graph Databases
- Working with Neptune Graph Database
- Querying and Visualizing Graph Data
Amazon Timestream
- Understanding Time-Series Data
- Setting Up and Managing Timestream Database
- Analyzing Time-Stamped Data
AWS Database Migration Service (DMS)
- Migrating Databases to AWS Using DMS
- Configuring Replication Tasks
- Troubleshooting Migration Issues
Best Practices for AWS Databases
- Security and Access Control
- Backup and Disaster Recovery Strategies
- Performance Optimization Techniques
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees:
Please contact the office for details