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Planning and Designing Databases on AWS

  • CMDBID 1044
  • Course Code AMWSDPD
  • Duration 3 Days
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AWS Course

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Overview

In this course, you will learn about the process of planning and designing both relational and nonrelational databases. You will learn the design considerations for hosting databases on Amazon Elastic Compute Cloud (Amazon EC2). You will learn about our relational database services including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, and Amazon Redshift. You will also learn about our nonrelational database services including Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB. By the end of this course, you will be familiar with the planning and design requirements of all 8 of these AWS databases services, their pros and cons, and how to know which AWS databases service is right for your workloads.

Audience

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

Prerequisites

We recommend that attendees of this course have the following prerequisites:

  • Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training
  • Understanding of database design concepts, and/or data modelling for relational or non-relational databases
  • Familiarity with cloud computing concepts
  • Familiarity with general networking and encryption concepts
  • Understanding of the three Vs 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

Outline

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 modelling 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
  • 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 modelling
  • Amazon DynamoDB distinguishing features
  • Amazon DynamoDB design considerations
  • Hands-on Lab: working with Amazon DynamoDB

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 modelling
  • Amazon Redshift design considerations
  • Hands-on Lab: working with Amazon Redshift Clusters

Module 13: Course Overview

Certification

Labs - Please note: The labs for your AWS course will be delivered through AWS Builder labs. In order to access these labs you will need to have an Amazon BuilderID. You can set up your new Amazon account here. Please ensure that you have set up this Amazon BuilderID in advance of attending your class.

Courseware – Please note: In order to access your digital course materials you are required to set up a Gilmore account in advance of attending your course. To do this please follow this link.

Please also be aware that in order to access your materials and Labs it is important that your device and network should not restrict access to AWS or Vitalsource content. For that reason, AWS recommend NOT using a Corporate laptop with any security restrictions in place or the use of a VPN.

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Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes

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