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A Comprehensive Guide to AWS Databases
Master purpose-built AWS databases. Future-proof your skills by learning to select, deploy, and scale highly available data architectures for production-ready cloud applications.
85 Lessons
13 Cloud Labs
15h
Updated today
Join 3 million developers at
Join 3 million developers at
LEARNING OBJECTIVES
- Understand AWS databases and cloud-native data architecture, focusing on purpose-built solutions for various workloads.
- Analyze different database models, including relational, document, key-value, and graph databases, to optimize performance.
- Implement AWS shared building blocks for secure and resilient database environments, including network isolation and monitoring.
- Evaluate the cross-service decision framework to select appropriate AWS database services based on workload characteristics.
- Demonstrate core operational skills for AWS databases, including capacity planning, observability, and performance tuning.
- Apply advanced features of AWS databases, such as Amazon RDS Proxy and Aurora Serverless, to enhance operational efficiency.
KEY OUTCOMES
Design Cloud-Native Database Architectures
Architect resilient, scalable database solutions on AWS that meet diverse application requirements and workload demands.
Optimize Database Performance
Implement performance tuning strategies for AWS databases, ensuring high availability and efficient resource utilization in production environments.
Lead Database Migration Projects
Manage the migration of existing databases to AWS, applying best practices for data integrity, security, and minimal downtime.
Evaluate Database Solutions for Business Needs
Assess and recommend the most suitable AWS database services based on specific business requirements and operational constraints.
Why choose this course?
Stay Relevant in a Cloud-Driven World
As cloud technology evolves, the pressure to master AWS databases intensifies. Without the right skills, developers risk falling behind in a competitive job market.
The Stakes Are High
Navigating AWS databases can be daunting. Engineers who lack expertise may struggle with performance issues, scalability challenges, and costly mistakes that hinder project success.
Your Path to Mastery Starts Here
This course offers hands-on experience with AWS database services, from RDS to DynamoDB. Learn through real-world scenarios and practical exercises that build your confidence and competence.
Elevate Your Career Today
Join a community of professionals who are enhancing their skills and advancing their careers. Equip yourself with the knowledge to excel in AWS database management and stand out in your field.
Learning Roadmap
1.
Introduction
Introduction
Master AWS database architectures for optimal performance and resilience.
2.
Common Foundation for All AWS Database Study
Common Foundation for All AWS Database Study
Explore AWS database models, operational skills, and decision frameworks for optimal performance.
3.
Amazon RDS
Amazon RDS
6 Lessons
6 Lessons
Explore Amazon RDS features for efficient database management, security, and high availability.
4.
Amazon Aurora
Amazon Aurora
8 Lessons
8 Lessons
Explore Amazon Aurora's architecture, scalability, and operational strategies for optimal database management.
5.
Amazon DocumentDB
Amazon DocumentDB
9 Lessons
9 Lessons
Explore Amazon DocumentDB's architecture, features, and best practices for optimal performance.
6.
Amazon DynamoDB
Amazon DynamoDB
11 Lessons
11 Lessons
Master DynamoDB's architecture, data modeling, indexing, and performance optimization strategies.
7.
Amazon ElastiCache
Amazon ElastiCache
10 Lessons
10 Lessons
Explore Amazon ElastiCache's capabilities for enhancing application performance and optimizing caching strategies.
8.
Amazon KeySpaces
Amazon KeySpaces
9 Lessons
9 Lessons
Explore Amazon Keyspaces' features, data modeling, capacity planning, and security for efficient database management.
9.
Amazon MemoryDB
Amazon MemoryDB
8 Lessons
8 Lessons
Explore Amazon MemoryDB's architecture, performance, durability, and AI capabilities for robust data management.
10.
Amazon Neptune
Amazon Neptune
8 Lessons
8 Lessons
Explore Amazon Neptune's capabilities in managing complex graph databases and analytics.
11.
Amazon Timestream
Amazon Timestream
8 Lessons
8 Lessons
Master time-series data management with Amazon Timestream's advanced analytics and operational strategies.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
AWS offers purpose-built databases for different workload patterns, covering use cases from low-latency caching to globally distributed transactional workloads. As cloud applications scale, engineers need to understand more than database provisioning. They need to choose an engine based on access patterns, latency, consistency, availability, and operational requirements, then operate it reliably in production.
ABOUT THE AUTHOR
Naeem ul Haq
Educative co-founder and CTO. Ex-Microsoft (Azure). Full-Stack, Cloud, Product & Engineering Leadership.
Trusted by 3 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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