Formation AWS : Planifier et concevoir des bases de données sur Amazon Web Services (cours officiel) Planning and designing databases on AWS

Durée 3 jours
Niveau Avancé
Classe à distance
Possible

Vous pouvez suivre cette formation en direct depuis votre domicile ou votre lieu de travail. Plus d'informations sur notre solution de classe à distance...

Référence IADD
Cours officiel Amazon Web Services (AWS)

Cette formation est délivrée en partenariat avec un APN Training Partner, formateur AAI, labs et supports de cours officiels fournis par l’organisme ATP.

In this course, you will learn about the process of planning and designing both relational and nonrelational 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.

Objectif opérationnel :

To plan and design relational and non-relational Amazon Web Services databases.

Objectifs pédagogiques :

  • Apply database concepts, database management, and data modeling techniques
  • Evaluate hosting databases on Amazon EC2 instances
  • Evaluate relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift)
  • Evaluate nonrelational 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

Public :

This AWS Databases course is intended for data engineers, solution architects, developers and IT professionals.

Prérequis :

To follow this course in good conditions, you must have the following skills :

  • 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

Jour 1

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 databases on Amazon EC2 and Amazon RDS

The journey to AWS
Data modeling basics

Amazon RDS

Amazon RDS overview
Amazon RDS distinguishing features
Amazon RDS design considerations

Travaux pratiques

Working with Amazon RDS databases

Amazon Aurora

Amazon Aurora overview
Amazon Aurora distinguishing features
Amazon Aurora design considerations

Jour 2

Amazon Aurora (suite)

Travaux pratiques

Working with Amazon Aurora databases

Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB overview
Amazon DocumentDB design considerations
Amazon DocumentDB distinguishing features

Travaux pratiques

Working with Amazon DocumentDB databases

Amazon DynamoDB

Amazon DynamoDB overview
Amazon DynamoDB data modeling
Amazon DynamoDB distinguishing features
Amazon DynamoDB design considerations

Travaux pratiques

Working with Amazon DynamoDB

Jour 3

Databases in Amazon Neptune

Amazon Neptune overview
Amazon Neptune design considerations

Databases in Amazon Quantum Ledger Database (Amazon QLDB)

Amazon QLDB overview
Amazon QLDB Design Considerations

Databases in Amazon ElastiCache

Amazon ElastiCache overview
Amazon ElastiCache for Memcached
Amazon ElastiCache for Redis

Data warehousing in Amazon Redshift

Amazon Redshift overview
Amazon Redshift distinguishing features
Amazon Redshift data modeling
Amazon Redshift design considerations

Travaux pratiques

Working with Amazon Redshift Clusters


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