Length
3 days

Overview

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.

Key Topics

Detailed Info
  • Database concepts and general guidelines
  • Databases on Amazon EC2
  • Amazon RDS
  • Amazon DocumentDB (with MongoDB compatibility)
  • Databases in Amazon Quantum Ledger Database (QLDB)
  • Database planning and design
  • Purpose-built databases on Amazon EC2 and Amazon RDS
  • Amazon Aurora
  • Amazon DynamoDB
  • Databases in Amazon Neptune
  • Databases in Amazon ElastiCache
  • Data warehousing in Amazon Redshift
Skills Gained
Key Topics
Target Audience
Prerequisites

Skills Gained

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

Key Topics

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.

Target Audience

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 call us at +632 8244 2098 or email [email protected]

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
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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.

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