Suche
Close this search box.

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
3
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 0: Planning and Designing Databases on AWS
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 1: Database Concepts and General Guidelines
Databases in the cloud
Database design principles
Transactional compliance
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 2: Database Planning and Design
Workload requirements
Design considerations
Module 2: Database Planning and Design
Workload requirements
Design considerations
Module 3: Databases on Amazon EC2
Amazon EC2 for hosting databases
Module 3: Databases on Amazon EC2
Amazon EC2 for hosting databases
Module 3: Databases on Amazon EC2
Amazon EC2 for hosting databases
Module 4: Purpose-Built Databases
The journey to AWS
Data modeling basics
Module 4: Purpose-Built Databases
The journey to AWS
Data modeling basics
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 5: Databases on Amazon RDS
Amazon RDS databases
Amazon RDS distinguishing features
Amazon RDS Design considerations
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
Amazon Aurora databases
Aurora distinguishing features
Aurora 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 6: Databases in Amazon Aurora (continued)
Working with Amazon Aurora databases
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 7: Databases in Amazon DocumentDB (with MongoDB compatibility)
Amazon DocumentDB
Amazon DocumentDB design considerations
Working with Amazon DocumentDB 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 8: Amazon DynamoDB Tables
Amazon DynamoDB
DynamoDB data modeling
DynamoDB distinguishing features
DynamoDB design considerations
Working with Amazon DynamoDB Tables
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 9: Databases in Amazon Neptune
Amazon Neptune
Neptune design considerations
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 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)
Amazon Quantum Ledger Database (Amazon QLDB)
Amazon QLDB 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 11: Databases in Amazon ElastiCache
Amazon ElastiCache
ElastiCache for Memcached
ElastiCache for Redis
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
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
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
  • Group Exercise: Review Architecting on AWS core best practices
  • Lab 1: Securing Amazon S3 VPC Endpoint Communications
  • 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
  • Group Exercise: Review Architecting on AWS core best practices
  • Lab 1: Securing Amazon S3 VPC Endpoint Communications
  • Group Exercise: Review Architecting on AWS core best practices
  • Lab 1: Securing Amazon S3 VPC Endpoint Communications
Data platform engineers, Database administrators, Solutions architects, IT professionals
AWS Database Offerings digital training Data Analytics Fundamentals digital training Architecting on AWS classroom training
AWS

2.095,00 €

Startdatum und Ort wählen

FirmenSeminare

Maßgeschneiderte Trainings für Ihr Unternehmen

  • Von Ihnen bestimmte Inhalte
  • Zertifizierte Trainer
  • Ortsunabhängig

Wir bieten alle Trainings auch als Firmenseminare an. Dabei können Sie das Training auf den Bedarf und das Team Ihres Unternehmens abstimmen. Zusammen mit unseren Trainern planen Sie die Inhalte und bestimmen Ort sowie Zeit des Trainings. Wir beraten Sie gerne, um Ihre Teilnehmer optimal zu schulen.

Jetzt persönliche Beratung anfordern

Jetzt kontaktieren!
brainymotion
Trainingsmethoden
Folgen Sie uns

Terminübersicht