Planning and Designing Databases on AWS

ONLINE TRAINING
April 21 - 23 2021
September 20 - 22 2021
November 16 - 18 2021
CLASSROOM TRAINING
June 7 - 9 2021
Training Cost
ONLINE TRAINING
1.700 EUR (VAT ex.) per person
CLASSROOM TRAINING
1.850 EUR (VAT ex.) per person
Practical informationClass from 9 AM to 5 PM
LanguageEnglish (unless all attendees speak Dutch)
Location

Most of our classroom training courses take place in Belgium (Edegem) or The Netherlands (Breda). Please click the button with the desired date to check the exact location of the training.

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Duration

3 days

Course overview

In this AWS 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.

Who should attend this training

This course is intended for:

  • Data engineers

  • Solutions architects

  • Developers

  • IT professionals

Course Objectives

In this course, you will learn to:

  • 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

Prerequisites

We recommend participants to have the following prerequisites:

  • 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

Course Content

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 modeling 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

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 modeling

  • 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 modeling

  • Amazon Redshift design considerations

  • Hands-on Lab: working with Amazon Redshift Clusters

Module 13: Course Overview

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This training in-company?
Upon your request we can organize this training for you.
CONTACT US