Course Number: AWS-170

Duration: 3 days (19.5 hours)

Format: Live, hands-on

AWS Database Services Training Overview

This Planning and Designing Databases on AWS training course teaches attendees how to plan and design both relational and nonrelational AWS databases. Participants learn how to use workload requirements to define database design considerations and explore the features and capabilities of the eight AWS database services. In addition, students learn how to determine which AWS database service is right for their workloads and design the database to meet their requirements.

Accelebrate is an AWS Training Partner (ATP) and this hands-on official AWS Classroom Training course is taught by an accredited Amazon Authorized Instructor (AAI).

Location and Pricing

Accelebrate offers instructor-led enterprise training for groups of 3 or more online or at your site. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for private corporate training on-site or online, please contact us.

In addition, some Cloud courses are available as live, online classes for individuals.

Objectives

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

Prerequisites

All students should have familiarity with AWS Database Services equivalent to the AWS free, self-paced, 4-hour AWS Database Offerings digital training.

Outline

Expand All | Collapse All

Introduction
Database Concepts and General Guidelines
  • Databases in the cloud
  • Database design principles
  • Transactional compliance
Database Planning and Design
  • Workload requirements
  • Design considerations
Databases on Amazon EC2
  • Amazon EC2 for hosting databases
Purpose-Built Databases
  • The journey to AWS
  • Data modeling basics
Databases on Amazon RDS
  • Amazon RDS databases
  • Amazon RDS distinguishing features
  • Amazon RDS Design considerations
  • Working with Amazon RDS databases
Databases in Amazon Aurora
  • Amazon Aurora databases
  • Aurora distinguishing features
  • Aurora design considerations
  • Working with Amazon Aurora databases
Databases in Amazon DocumentDB (with MongoDB compatibility)
  • Amazon DocumentDB
  • Amazon DocumentDB design considerations
  • Working with Amazon DocumentDB databases
Amazon DynamoDB Tables
  • Amazon DynamoDB
  • DynamoDB data modeling
  • DynamoDB distinguishing features
  • DynamoDB design considerations
  • Working with Amazon DynamoDB Tables
Databases in Amazon Neptune
  • Amazon Neptune
  • Neptune design considerations
Databases in Amazon Quantum Ledger Database (Amazon QLDB)
  • Amazon Quantum Ledger Database (Amazon QLDB)
  • Amazon QLDB Design Considerations
Databases in Amazon ElastiCache
  • Amazon ElastiCache
  • ElastiCache for Memcached
  • ElastiCache for Redis
Data Warehousing in Amazon Redshift
  • Amazon Redshift
  • Amazon Redshift distinguishing features
  • Amazon Redshift data modeling
  • Amazon Redshift design considerations
  • Working with Amazon Redshift Clusters
Conclusion and Course Review

Training Materials

All AWS Database training students receive comprehensive courseware.

Software Requirements

A modern web browser and an Internet connection that allows connections by SSH or Remote Desktop (RDP) into AWS virtual machines.



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