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


Leave a Reply

Your email address will not be published. Required fields are marked *