Planning and Designing Databases on AWS

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.

Physisch oder virtuell?

Nehmen Sie an einem unserer Standorte Frankfurt, München und Wien oder virtuell an unseren Klassenraumtrainings teil. Unter „Termin buchen“ werden Ihnen alle Optionen angezeigt, zuerst sortiert nach Standort, dann nach Datum.

Dauer

Trainingssprache

Deutsch

Trainingsart

Nicht verfügbar

Was werden Sie in diesem Training erlernen?

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

Agenda

Module 0: Planning and Designing Databases on AWS

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

The journey to AWS

Data modeling basics

Module 5: Databases on Amazon RDS

Amazon RDS databases

Amazon RDS distinguishing features

Amazon RDS Design considerations

Module 6: Databases in Amazon Aurora

Amazon Aurora databases

Aurora distinguishing features

Aurora design considerations

Module 6: Databases in Amazon Aurora (continued)

Working with Amazon Aurora databases

Module 7: Databases in Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB

Amazon DocumentDB design considerations

Working with Amazon DocumentDB databases

Module 8: Amazon DynamoDB Tables

Amazon DynamoDB

DynamoDB data modeling

DynamoDB distinguishing features

DynamoDB design considerations

Working with Amazon DynamoDB Tables

Module 9: Databases in Amazon Neptune

Amazon Neptune

Neptune design considerations

Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)

Amazon Quantum Ledger Database (Amazon QLDB)

Amazon QLDB Design Considerations

Module 11: Databases in Amazon ElastiCache

Amazon ElastiCache

ElastiCache for Memcached

ElastiCache for Redis

Module 12: Data Warehousing in Amazon Redshift

Amazon Redshift

Amazon Redshift distinguishing features

Amazon Redshift data modeling

Amazon Redshift design considerations

Working with Amazon Redshift Clusters

REVIEWING ARCHITECTING CONCEPTS

SINGLE TO MULTIPLE ACCOUNTS

Group Exercise: Review Architecting on AWS core best practices
AWS Organizations for multi-account access and permissions
AWS SSO to simplify access and authentication across AWS accounts and third-party services
AWS Control Tower
Permissions, access, and authentication

HYBRID CONNECTIVITY

SPECIALIZED INFRASTRUCTURE

Zielgruppe

Data platform engineers, Database administrators, Solutions architects, IT professionals

Voraussetzung für den Kurs

AWS Database Offerings digital training Data Analytics Fundamentals digital training Architecting on AWS classroom training

Partner

AWS