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Planning and designing databases on AWS

In this course, you will learn about the process of planning and designing both relational and non-relational AWS databases. It 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.

This course teaches you how to:

  • 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

Schedule

dateduréelang.lieuprix 
10 oct3Eweb based 1995 EUR (excl. TVA)
02 nov3Eweb based 1995 EUR (exempte de TVA)
23 nov3Eweb based 1995 EUR (exempte de TVA)
19 déc3Eweb based 1995 EUR (excl. TVA)
22 fév3Eweb based 1995 EUR (exempte de TVA)
06 mar3Eweb based 1995 EUR (exempte de TVA)
26 avr3Eweb based 1995 EUR (exempte de TVA)
31 mai3Eweb based 1995 EUR (exempte de TVA)
05 juin3Eweb based 1995 EUR (exempte de TVA)
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Intended for

This course is intended for: (a) Data Engineers who are new to designing cloud databases or non-relational databases; (b) Solutions Architects who are designing services or architectures that are integrated with databases; (c) Developers that are building cloud database-enabled applications.

Background

We recommend that attendees of this course have:

  • 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 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.

Main topics

Day One

  • 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

Day Two

  • 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 modelling - Amazon DynamoDB distinguishing features - Amazon DynamoDB design considerations

Hands-on Lab: working with Amazon DynamoDB

Day Three

  • 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

Training method

Lecturing with hands-on exercises, demonstrations and group exercises.

Duration

3 days.

Course leader

Fast Lane, official AWS training partner.


INFO SESSION ET INSCRIPTION