Planning and Designing Databases on AWS

3 days

English

In Kooperation mit

Learn about the process of planning and designing both relational and nonrelational AWS databases.

Content

This 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.

Day 1

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 modeling 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 2

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 modeling
Amazon DynamoDB distinguishing features
Amazon DynamoDB design considerations
Hands-on Lab: Working with Amazon DynamoDB

Day 3

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 modeling
Amazon Redshift design considerations
Hands-on Lab: Working with Amazon Redshift Clusters

Module 13: Course Overview

Benefits

Applying database concepts, database management, and data modeling techniques
Examining hosting databases on Amazon EC2 instances
Examining relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift)
Examining nonrelational AWS database services and their features (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB)
Examining how the design criteria apply to each service
Applying management principles based on the unique features of each service

Instructor

Vladimir Sabo

Methods

Instructor-led training, hands-on labs, demonstrations, and group exercises.

Who should attend

This course is intended for the following job roles:

Solution Architect
Developer
DevOps
Data Analytics

Requirements:

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