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Cloud Computing and Virtualisation

Planning and Designing Databases on AWS

  • Length 3 days
  • Price $2805 inc GST
Course overview
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Why study this course

In this instructor-led training course, you will learn about the process of planning and designing both relational and non-relational AWS databases.

The course will teach you how to use workload requirements to define database design considerations and also explore the features and capabilities of the eight AWS database services. By the end of the course, you will be able to determine which AWS database service is right for your workloads, and design the database to meet your requirements.

This intermediate-level course is delivered through a mix of instructor-led training (ILT), hands-on labs, demonstrations, and group exercises.

Please note: students are required to bring their own laptop/tablet and power cable for this course.

Aligns to certification

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What you’ll learn

This course is designed to teach participants how to:

  • 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


AWS at DDLS

DDLS is an official AWS Training Partner for the Australian and Philippines region. 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.


Stay ahead of the technology curve

Don’t let your tech outpace the skills of your people

Quality instructors and content

Expert instructors with real world experience and the latest vendor- approved in-depth course content.

Partner-Preferred Supplier

Chosen and awarded by the world’s leading vendors as preferred training partner.

Ahead of the technology curve

No matter your chosen technologies or platforms, we can help you stay one step ahead.

Who is the course for?

This course is intended for:

  • Data Engineers who are new to designing cloud databases or non-relational databases

  • Solutions Architects who are designing services or architectures that are integrated with databases

  • Developers who are building cloud database-enabled applications

We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please contact us on 1800 853 276.


Course subjects

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

  • 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

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

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


Prerequisites

It is recommended that attendees have the following prerequisites:

  • Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training

  • 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

  • Understanding of the three Vs 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 course


Terms & Conditions

The supply of this course by DDLS 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.



Request Course Information

By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.