A tanfolyamról
Learn how to plan and design databases in an AWS cloud environment. The 24 hours Planning and Designing Databases on AWS course focuses on the various AWS services and how you should employ them in managing databases. Understand to differentiate between relational and non-relational databases and design databases based on your workloads.
This course is ideal for professionals who are responsible for planning, designing, deploying, maintaining, and improving databases in an AWS environment.
Who should attend the course
- Data engineers
- Solutions architects
- Developers
- IT professionals
What you will learn
-
Database Basics
Learn to apply database concepts, database management, and data modeling techniques -
Amazon EC2
Explore how to evaluate hosting databases on Amazon Elastic Cloud Compute instances -
Relational Database Services
Evaluate relational database services like Amazon RDS, Amazon Aurora, and Amazon Redshift -
Non-Relational Database Services
Evaluate five nonrelational database services including Amazon DocumentDB and Amazon DynamoDB -
Design Criteria
Explore how to use the design criteria in databases and how to apply it to each service -
Management Principles
Apply management principles to databases based on the unique features of each service
This course caters to the needs of professionals charged with planning and designing databases in an AWS environment. It will teach you:
- Database fundamentals
- Database management
- Data modeling
- Database hosting
- Amazon RDS databases
- Amazon Aurora databases
- Data warehousing
We provide this course in English.
Tematika
Curriculum
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
- Purpose-Built Databases
- The journey to AWS
- Data modeling basics
4. Databases on Amazon RDS
- Amazon RDS databases
- Amazon RDS distinguishing features
- Amazon RDS Design considerations
5. Databases in Amazon Aurora
- Amazon Aurora databases
- Aurora distinguishing features
- Aurora design considerations
6. Databases in Amazon DocumentDB (with MongoDB compatibility)
- Amazon DocumentDB
- Amazon DocumentDB design considerations
7. Amazon DynamoDB Tables
- Amazon DynamoDB
- DynamoDB data modeling
- DynamoDB distinguishing features
- DynamoDB design considerations
8. Databases in Amazon Neptune
- Amazon Neptune
- Neptune design considerations
9. Databases in Amazon Quantum Ledger Database (Amazon QLDB)
- Amazon Quantum Ledger Database (Amazon QLDB)
- Amazon QLDB Design Considerations
10. Databases in Amazon ElastiCache
- Amazon ElastiCache
- ElastiCache for Memcached
- ElastiCache for Redis
11. Data Warehousing in Amazon Redshift
- Amazon Redshift
- Amazon Redshift distinguishing features
- Amazon Redshift data modeling
- Amazon Redshift design considerations
Kinek ajánljuk
Előfeltételek
Prerequisites
- Familiarity with AWS Database Services
- Understanding of database design concepts
- Understanding of data modeling