In this course, you will learn about the process of planning and designing both relational and nonrelational AWS databases. It 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.
This course is intended for
Data engineers
Solutions architects
Developers
IT professionals
By actively participating in this course, you will learn about the following:
Apply database concepts, database management, and data modelling techniques
Evaluate hosting databases on Amazon EC2 instances
Evaluate relational AWS database services and their features (Amazon RDS, Amazon Aurora, and Amazon Redshift)
Evaluate nonrelational AWS database services and their features (Amazon DocumentDB, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, and Amazon QLDB)
Examine how the design criteria apply to each service
Apply management principles based on the unique features of each service
We recommend that attendees of this course have:
Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training
Understanding of database design concepts, and/or data modelling for relational or nonrelational databases
Familiarity with cloud computing concepts
Familiarity with general networking and encryption concepts
Understanding of the three Vs of data (volume, velocity, and variety)
Familiarity with basic data analytics concepts, equivalent to Data Analytics Fundamentals digital training
Understanding of general architecting best practices and the AWS Well-Architected Framework, equivalent to Architecting on AWS classroom training
Day One
Module 1: Database concepts and general guidelines
Databases in the cloud
Database design principles
Transactional compliance
Module 2: Database planning and design
Workload requirements
Design considerations
Module 3: Databases on Amazon EC2
Amazon EC2 for hosting databases
Module 4: Purpose-built databases on Amazon EC2 and Amazon RDS
The journey to AWS
Data modelling basics
Module 5: Amazon RDS
Amazon RDS overview
Amazon RDS distinguishing features
Amazon RDS design considerations
Hands-on Lab: working with Amazon RDS databases
Module 6: Amazon Aurora
Amazon Aurora overview
Amazon Aurora distinguishing features
Amazon Aurora design considerations
Day Two
Module 6: Amazon Aurora (continued)
Hands-on Lab: working with Amazon Aurora databases
Module 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
Module 8: Amazon DynamoDB
Amazon DynamoDB overview
Amazon DynamoDB data modelling
Amazon DynamoDB distinguishing features
Amazon DynamoDB design considerations
Hands-on Lab: working with Amazon DynamoDB
Day Three
Module 9: Databases in Amazon Neptune
Amazon Neptune overview
Amazon Neptune design considerations
Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)
Amazon QLDB overview
Amazon QLDB Design Considerations
Module 11: Databases in Amazon ElastiCache
Amazon ElastiCache overview
Amazon ElastiCache for Memcached
Amazon ElastiCache for Redis
Module 12: Data warehousing in Amazon Redshift
Amazon Redshift overview
Amazon Redshift distinguishing features
Amazon Redshift data modelling
Amazon Redshift design considerations
Hands-on Lab: working with Amazon Redshift Clusters
Module 13: Course Overview
There is no exam directly relating to this course.
This training course provided by Skilltec is accredited through Global Knowledge Training Ltd. Global Knowledge Training Ltd are the authorised learning partner; all trademarks and partner statuses are provided through them.