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In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB. By the end of this course, you will be familiar with the planning and design requirements of all 8 of these AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads.

We recommend that attendees of this course 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 classroom training

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

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 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

Module 13: Course Overview

Upcoming Trainings

Join our public courses in our Singapore facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom

10 July 2024