AWS Certified Database – Specialty (Planning and Designing Databases on AWS) Course Overview
Enroll for the 3-day Planning and Designing Databases on AWS certification training course from this course Solutions accredited by AWS. In this course 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.
Through a blend of hands-on labs and interactive lectures, you will learn about our non relational 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.
This training course is for Data platform engineers, Database administrators, Solutions architects, IT professionals.
After completing this course, you will be able to:
- 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.
- Databases on the cloud
- Database design principles
- Transactional compliance
- Workload requirement
- Design considerations
- Amazon EC2 for hosting databases
- The journey towards AWS
- Data modeling basics
- Amazon RDS database
- Amazon RDS distinguishing features
- Amazon RDS Design considerations
- Lab 1: Working with Amazon RDS databases
- Amazon Aurora database
- Aurora distinguishing features
- Aurora design considerations
- Amazon DocumentDB
- Amazon DocumentDB design consideration
- Lab 3: Working with Amazon DocumentDB databases
- Amazon DynamoDB
- DynamoDB data modeling
- DynamoDB distinguishing feature
- DynamoDB design considerations
- Lab 4: Working with Amazon DynamoDB Tables
- Amazon Neptune
- Neptune design considerations
- Amazon Quantum Ledger Database
- Amazon QLDB Design Consideration
- Amazon ElastiCache
- ElastiCache for Memcached
- ElastiCache for Redis
- Amazon Redshift
- Amazon Redshift distinguishing feature
- Amazon Redshift data model
- Amazon Redshift design considerations
- Lab 5: Working with Amazon Redshift Clusters