Planning and Designing Databases on AWS

Weiterbildung

Beschreibung

Learn about the process of planning and designing both relational and nonrelational AWS databases.
Content

This course 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.

1. Database concepts and general guidelines

  • Databases in the cloud
  • Database design principles
  • Transactional compliance

2. Database planning and design

  • Workload requirements
  • Design considerations

3. Databases on Amazon EC2

  • Amazon EC2 for hosting databases

4. Purpose-built databases databases on Amazon EC2 and Amazon RDS

  • The journey to AWS
  • Data modeling basics

5. Amazon RDS

  • Amazon RDS overview
  • Amazon RDS distinguishing features
  • Amazon RDS design considerations
  • Hands-on Lab: Working with Amazon RDS databases

6. Amazon Aurora

  • Amazon Aurora overview
  • Amazon Aurora distinguishing features
  • Amazon Aurora design considerations
  • Hands-on Lab: Working with Amazon Aurora databases

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

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

9. Databases in Amazon Neptune

  • Amazon Neptune overview
  • Amazon Neptune design considerations

10. Databases in Amazon Quantum Ledger Database (Amazon QLDB)

  • Amazon QLDB overview
  • Amazon QLDB Design Considerations

11. Databases in Amazon ElastiCache

  • Amazon ElastiCache overview
  • Amazon ElastiCache for Memcached
  • Amazon ElastiCache for Redis

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

Weiterbildungslevel

Level 1
Level 2
Level 3
Level 4
Bei unseren Weiterbildungsangeboten unterscheiden wir unterschiedliche Levels

Level 1: Grundkenntnisse
Level 2: Anwenderkenntnisse
Level 3: Expertenkenntnisse
Level 4: Kenntnisse für Führungskräfte

ZU DEN ANBIETERN

Links zu den Weiterbildungsangeboten

https://www.haufe-akademie.de/33812


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