Course Description

In this course, you will learn about planning and designing your solutions with purpose-built Amazon Web Services (AWS) Cloud databases. The course introduces you to the features and characteristics of each of these databases and shares the design considerations that you should make while using them. By taking this course, you can develop the analytical skills needed to choose the right AWS database for your unique needs.

By the end of the course, you will be able to analyse a business use case, analyse the workload, and assess application requirements to identify and design the most suitable AWS database solution to support your organisational needs.

Target Student

This course is intended for learners in the following roles:

• Solutions architects
• Database architects
• Developers

Pre-requisites

We recommend the following prerequisites for attendees of this course:

• Familiarity with AWS database services
• Understanding of database design concepts and/or data modelling for relational or non-relational databases
• Familiarity with cloud computing concepts
• Familiarity with general networking and encryption concepts
• Completion of the digital course Introduction to Building with AWS Databases
• Understanding of the three V's of data (volume, velocity, and variety)
• Familiarity with basic data analytics concepts, equivalent to Data Analytics Fundamentals digital training
• Understanding of general architecting best practices and the AWS Well-Architected Framework, equivalent to Architecting on AWS (AWSA) classroom training

Performance Based Objectives

In this course, you will learn how to do the following:

• Summarise the AWS Well-Architected Framework for designing database solutions.
• Choose an appropriate purpose-built database service for a given workload.
• Design a relational database solution to solve a business problem.
• Design a NoSQL database solution to solve a business problem.
• Analyse data from multiple databases to solve a business problem.
• Discuss the security considerations for your database solution.
• Apply database concepts, database management, and data modelling techniques.
• Evaluate hosting databases on Amazon EC2 instances.
• Evaluate relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift).
• Evaluate non-relational AWS database services and their features (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB).
• Examine how the design criteria apply to each service.
• Apply management principles based on the unique features of each service.

Certifications

This course prepares you for the following certification:

• AWS Certified Database – Speciality

To earn this certification, you'll need to take and pass the AWS Certified Database – Speciality exam (DBS-C01). The exam features a combination of two question formats: multiple choice and multiple response.

Course Content

Day One

Module 1 - Database concepts and general guidelines

• Databases in the cloud
• Database design principles
• Transactional compliance

Module 2 - Database planning and design

• Workload requirements
• Design considerations

Module 3 - Databases on Amazon EC2

• Amazon EC2 for hosting databases

Module 4 - Purpose-built databases on Amazon EC2 and Amazon RDS

• The journey to AWS
• Data modelling basics

Module 5 - Amazon RDS

• Amazon RDS overview
• Amazon RDS distinguishing features
• Amazon RDS design considerations
• Hands-on Lab: working with Amazon RDS databases

Module 6 - Amazon Aurora

• Amazon Aurora overview
• Amazon Aurora distinguishing features
• Amazon Aurora design considerations

Day Two

Module 6 - Amazon Aurora (continued)

• Hands-on Lab: working with Amazon Aurora databases

Module 7 - Amazon DocumentDB (with MongoDB compatibility)

• Amazon DocumentDB overview
• Amazon DocumentDB design considerations
• Amazon DocumentDB distinguishing features
• Hands-on Lab: working with Amazon DocumentDB databases

Module 8 - Amazon DynamoDB

• Amazon DynamoDB overview
• Amazon DynamoDB data modelling
• Amazon DynamoDB distinguishing features
• Amazon DynamoDB design considerations
• Hands-on Lab: working with Amazon DynamoDB

Day Three

Module 9 - Databases in Amazon Neptune

• Amazon Neptune overview
• Amazon Neptune design considerations

Module 10 - Databases in Amazon Quantum Ledger Database (Amazon QLDB)

• Amazon QLDB overview
• Amazon QLDB Design Considerations

Module 11 - Databases in Amazon ElastiCache

• Amazon ElastiCache overview
• Amazon ElastiCache for Memcached
• Amazon ElastiCache for Redis

Module 12 - Data warehousing in Amazon Redshift

• Amazon Redshift overview
• Amazon Redshift distinguishing features
• Amazon Redshift data modelling
• Amazon Redshift design considerations
• Hands-on Lab: working with Amazon Redshift Clusters

Module 13 - Course Overview

AWS® is a registered trade mark of Amazon.com, Inc. in the United Kingdom and other countries.