Syllabus
AWS Certified Database Specialty Certification Training Singapore.
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.
Target Audience:
This training course is for Data platform engineers, Database administrators, Solutions architects, IT professionals.
Learning Objectives
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.
Module 1: Database Concepts and General Guidelines
Databases on the cloud
Database design principles
Transactional compliance
Module 2: Database Planning and Design
Workload requirement
Design considerations
Module 3: Databases on Amazon EC2
Amazon EC2 for hosting databases
Module 4: Purpose-Built Databases
The journey towards AWS
Data modeling basics
Module 5: Databases on Amazon RDS
Amazon RDS database
Amazon RDS distinguishing features
Amazon RDS Design considerations
Lab 1: Working with Amazon RDS databases
Module 6: Databases in Amazon Aurora
Amazon Aurora database
Aurora distinguishing features
Aurora design considerations
Module 7: Databases in Amazon DocumentDB
Amazon DocumentDB
Amazon DocumentDB design consideration
Lab 3: Working with Amazon DocumentDB databases
Module 8: Amazon DynamoDB Tables
Amazon DynamoDB
DynamoDB data modeling
DynamoDB distinguishing feature
DynamoDB design considerations
Lab 4: 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 Quantum Ledger Database
Amazon QLDB Design Consideration
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 feature
Amazon Redshift data model
Amazon Redshift design considerations
Lab 5: Working with Amazon Redshift Clusters