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Amazon Web Services (AWS) Training Courses

Planning and Designing Databases on AWS

Course Duration: 3 days

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Course Duration: 3 days

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Private Course: Click Here

Course Duration: 3 days

From +Vat

View dates and book

Private Course: Click Here

Course Overview

In this course, you will learn about the process of planning and designing both relational and nonrelational AWS databases. It 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.

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Who is it for?

The course is aimed at: 

  • Data engineers 
  • Solutions architects 
  • Developers 
  • IT professionals
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Entry Requirements

We recommend that attendees of this course have: 

  • Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training 
  • Understanding of database design concepts, and/or data modeling for relational or nonrelational databases 
  • Familiarity with cloud computing concepts 
  • Familiarity with general networking and encryption concepts 
  • 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 classroom training 

The Exam

There is no exam for this course 

Course Objectives

This course teaches you 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 nonrelational 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  

Syllabus – Key points

The course syllabus and content is based upon: 

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 


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Course dates

Start DateExam IncludedPrice (excl VAT)Qty 
Start Date: Oct 24, 2022Exam Included: Course + No ExamPrice (excl VAT):


Start Date: Jan 23, 2023Exam Included: Course + No ExamPrice (excl VAT):


Start Date: Apr 24, 2023Exam Included: Course + No ExamPrice (excl VAT):


Start Date: Jul 10, 2023Exam Included: Course + No ExamPrice (excl VAT):


Start Date: Oct 30, 2023Exam Included: Course + ExamPrice (excl VAT):



Frequently asked questions

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