Planning and Designing Databases on AWS

Choose and design the right database for every workload.

3 daysIntermediate14 modulesAWS Certified Database - Specialty

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Overview

About this course

Choose and design the right database for every workload. You will compare AWS relational and purpose-built databases, from RDS and Aurora to DynamoDB, Neptune and Redshift, apply design principles for performance, availability and cost, and match workloads to services, building toward the Database Specialty certification.

Curriculum

14 modules

1Planning and Designing Databases on AWS Course overview, structure, and database design goals Introduction to AWS’s portfolio of database services

2Database Concepts and General Guidelines Review of relational and nonrelational database fundamentals Best practices for cloud-native database design

3Database Planning and Design Workload assessment and design decision-making Key criteria: performance, cost, scalability, and availability

4Databases on Amazon EC2 Self-managed databases on EC2: when and why Trade-offs vs managed services Cost, maintenance, and availability considerations

5Purpose-Built Databases on AWS Overview of AWS’s purpose-built database strategy Matching use cases to services (key-value, document, graph, etc.)

6Amazon RDS Features and capabilities of Amazon RDS Supported engines and deployment models Use cases for managed relational databases

7Amazon Aurora Aurora architecture and performance benefits Aurora MySQL vs Aurora PostgreSQL Replication, backups, and high availability

8Amazon DocumentDB (with MongoDB compatibility) Designing document-based applications Scaling and querying document data Differences between DocumentDB and MongoDB

9Amazon DynamoDB Key-value and NoSQL data models Partitioning, throughput, and access patterns Design best practices for performance and cost

10Amazon Neptune Graph database use cases and data models Working with Gremlin and SPARQL queries Design considerations for connected data

11Amazon Quantum Ledger Database (QLDB) Immutable ledger design and cryptographic verification Use cases for financial records, supply chains, and auditing How QLDB differs from blockchain and relational models

12Amazon ElastiCache In-memory caching with Redis and Memcached Boosting performance and reducing database load Common caching patterns and considerations

13Amazon Redshift Data warehousing and analytics at scale Columnar storage and performance optimization Redshift Spectrum and integration with AWS services

14Course Review and Design Application Recap of all AWS database services Workload matching and final design scenarios Q&A and review exercises

Who it's for

Database architects, administrators and solutions architects.

Before you start

Relational Database experience
Understanding of AWS foundational services: EC2, VPC, IAM
Attended one of Architecting on AWS, Developing on AWS, or Systems Operations on AWS

Certification

Prepares for

Amazon Web Services (AWS)

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