AWS-PDDA: Planning and Designing Databases on AWS

Objectives

In this course, you will learnhow to do the following:

Summarize the AWS Well-Architected Framework for designing database solutions.
Choose an appropriate purpose-built database service for a givenworkload.
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 thesecurity considerations for your database solution.

Content

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

Audience

This course is intended forlearners in the followingroles:

Solutionsarchitects
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 Database

Certification

Schedule

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