AWS-DBAWS | Planning and Designing Databases on AWS
 
In this course, you will 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 analyze a business use case, analyze the workload, and assess application requirements to identify and design the most suitable AWS database solution to support your organizational needs.
 
Objectives:
In this course, you will learn how to do the following:
Summarize 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.
Analyze data from multiple databases to solve a business problem.
Discuss the security considerations for your database solution.
 
Intended audience
This course is intended for learners in the following roles:
Solutions architects
Database architects
Developers
 
Prerequisites
We recommend the following prerequisites for attendees of this course:
Familiarity with AWS database services
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
Completion of the digital course Introduction to Building with AWS Databases
 
Course Outline
Day 1
Module 0: Course Introduction
Course overview
Module 1: AWS Purpose-Built Databases
Discussing well-architected databases
Analyzing 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
Day 2
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
Day 3
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?
Amazon Redshift 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 clusters
 
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