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Planning and Designing Databases on AWS

  • Length 3 days
Course overview
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Why study this course

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,

This course includes presentations, demonstrations, individual and group activities, knowledge checks, and hands-on labs to apply concepts.

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What you’ll learn

This course is designed to teach participants how to:

  • 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.

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AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

Who is the course for?

This course is intended for:

  • Solutions architects

  • Database architects

  • Developers

Course subjects

Module 1: AWS Purpose-Built Databases

  • Discussing well-architected databases

  • Analysing workload requirements

  • Choosing the data model

  • Choosing the right purpose-built database

  • Knowledge check

Module 2: Amazon Relational Database Service (Amazon RDS)

  • Discussing a relational database

  • What is Amazon RDS?

  • Why Amazon RDS?

  • Amazon RDS design considerations

  • Knowledge check

Module 3: Amazon Aurora

  • What is Amazon Aurora?

  • Why Amazon Aurora?

  • Aurora design considerations

  • Knowledge check

Challenge Lab 1: Working with Amazon Aurora databases

Class Activity 1: Choose the Right Relational Database

Module 4: Amazon DynamoDB

  • Discussing a key value database

  • What is DynamoDB?

  • Why DynamoDB?

  • DynamoDB design considerations

  • Knowledge check

Module 5: Amazon Keyspaces (for Apache Cassandra)

  • Discussing a wide-column database

  • What is Apache Cassandra?

  • What is Amazon Keyspaces?

  • Why Amazon Keyspaces?

  • Amazon Keyspaces design considerations

  • Knowledge check

Module 6: Amazon DocumentDB (with MongoDB compatibility)

  • Discussing a document database

  • What is Amazon DocumentDB?

  • Why Amazon DocumentDB?

  • Amazon DocumentDB design considerations

  • Knowledge check

Module 7: Amazon Quantum Ledger Database (Amazon QLDB)

  • Discussing a ledger database

  • What is Amazon QLDB?

  • Why Amazon QLDB?

  • Amazon QLDB design considerations

  • Knowledge check

Class Activity 2: Choose the Right Nonrelational Database

Challenge Lab 2: Working with Amazon DynamoDB Tables

Module 8: Amazon Neptune

  • Discussing a graph database

  • What is Amazon Neptune?

  • Why Amazon Neptune?

  • Amazon Neptune design considerations

  • Knowledge check

Module 9: Amazon Timestream

  • Discussing a timeseries database

  • What is Amazon Timestream?

  • Why Amazon Timestream?

  • Amazon Timestream design considerations

  • Knowledge check

Module 10: Amazon ElastiCache

  • Discussing an in-memory database

  • What is ElastiCache?

  • Why ElastiCache?

  • ElastiCache design considerations

  • Knowledge check

Module 11: Amazon MemoryDB for Redis

  • What is Amazon MemoryDB (for Redis)?

  • Why Amazon MemoryDB?

  • Amazon MemoryDB design considerations

  • Knowledge check

Class Activity 3: Let’s Cache In

Module 12: Amazon Redshift

  • Discussing a data warehouse

  • What is Amazon Redshift?

  • Why Amazon Redshift?

  • Why Amazon DocumentDB?

  • Amazon DocumentDB design considerations

  • Knowledge check

Module 13: Tools for Working with AWS Databases

  • Data access and analysis with Amazon Athena

  • Data migration with SCT and DMS

Class Activity 4: Overall Picture

Challenge Lab 3: Working with Amazon Redshift cluster

Please note: This is an emerging technology course. Course outline is subject to change as needed.


It is recommended that attendees have the following prerequisites:

  • 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

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.

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