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Planning and Designing Databases on AWS

Overview

The Amazon Web Services (AWS) authorized Planning & Designing Databases on AWS training course discusses the process of planning and designing both relational and non-relational AWS databases. The course will teach participants how to use workload requirements to define database design considerations. This official AWS course explores the features and capabilities of the eight AWS database services. The course aims to equip participants with the required skills and knowledge to determine which AWS service is right for the workloads as well as how to design the database to meet individual requirements.

Schedule Classes

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Course Delivery

This course is available in the following formats:

Live Classroom
Duration: 3 days

Live Virtual Classroom
Duration: 3 days

What You'll learn

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

Outline

  • Databases in the cloud
  • Database design principles
  • Transactional compliance
  • Workload requirements
  • Design considerations
  • Amazon EC2 for hosting databases
  • The journey to AWS
  • Data modeling basics
  • Overview of Amazon RDS
  • Distinguishing features of Amazon RDS
  • Design considerations of Amazon RDS
  • Lab: Working with Amazon RDS databases
  • Overview of Amazon Aurora
  • Distinguishing features of Amazon Aurora
  • Design considerations of Amazon Aurora
  • Lab: Working with Amazon Aurora databases
  • Overview of Amazon DocumentDB
  • Design considerations of Amazon DocumentDB
  • Distinguishing features of Amazon DocumentDB
  • Lab: Working with Amazon DocumentDB databases
  • Overview of Amazon DynamoDB
  • Design considerations of Amazon DynamoDB
  • Distinguishing features of Amazon DynamoDB
  • Lab: Working with Amazon DynamoDB
  • Overview of Amazon Neptune
  • Design considerations of Amazon Neptune
  • Overview of Amazon QLDB
  • Design considerations of Amazon QLDB
  • Overview of Amazon Elasticache
  • Amazon Elasticache for Memcached
  • Amazon Elasticache for Redis
  • Overview of Amazon Redshift
  • Distinguishing features of Amazon Redshift
  • Amazon Redshift data modeling
  • Design considerations of Amazon Redshift
  • Lab: Working with Amazon Redshift clusters
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Prerequisites

To attend this course, participants need to have:

  • Basic Linux administration experience
  • Basic network administration experience
  • Basic knowledge of containers and Kubernetes
  • Completed the Amazon Elastic Kubernetes Service Primer
  • Completed the AWS Cloud Practitioner Essentials course or have equivalent real-world experience

Who Should Attend

This course is intended for –

  • Anyone who will provide container orchestration management in the AWS Cloud
  • DevOps engineers
  • System administrators

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