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 leads to AWS Certified Database - Specialty Certification.
Course Objectives
- Apply database concepts, database management, and data modeling 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
Course Outline
- Database concepts and general guidelines
- Databases in the cloud
- Database design principles
- Transactional compliance
- Database planning and design
- Workload requirements
- Design considerations
- Databases on Amazon EC2
- Amazon EC2 for hosting databases
- Purpose-built databases on Amazon EC2 and Amazon RDS
- The journey to AWS
- Data modeling basics
- Amazon RDS
- Amazon RDS overview
- Amazon RDS distinguishing features
- Amazon RDS design considerations
- Amazon Aurora
- Amazon Aurora overview
- Amazon Aurora distinguishing features
- Amazon Aurora design considerations
- Amazon DocumentDB (with MongoDB compatibility)
- Amazon DocumentDB overview
- Amazon DocumentDB design considerations
- Amazon DocumentDB distinguishing features
- Amazon DynamoDB
- Amazon DynamoDB overview
- Amazon DynamoDB data modeling
- Amazon DynamoDB distinguishing features
- Amazon DynamoDB design considerations
- Databases in Amazon Neptune
- Amazon Neptune overview
- Amazon Neptune design considerations
- Databases in Amazon Quantum Ledger Database (Amazon QLDB)
- Amazon QLDB overview
- Amazon QLDB Design Considerations
- Databases in Amazon ElastiCache
- Amazon ElastiCache overview
- Amazon ElastiCache for Memcached
- Amazon ElastiCache for Redis
- Data warehousing in Amazon Redshift
- Amazon Redshift overview
- Amazon Redshift distinguishing features
- Amazon Redshift data modeling
- Amazon Redshift design considerations
Who Should Attend
Data Engineers who are new to designing cloud databases or nonrelational databasesSolutions Architects who are designing services or architectures that are integrated with databasesDevelopers that are building cloud database-enabled applicationsPrerequisites
Required
- Familiarity with AWS Database Services, equivalent to AWS Database Offerings digital training
- Familiarity with basic data analytics concepts, equivalent to Data Analytics Fundamentals digital training
- Familiarity with cloud computing concepts & networking and encryption concepts
- Understanding of database design concepts, and/or data modeling for relational or non-relational databases
- Understanding of the three V's of data (volume, velocity, and variety)
- Architecting on AWS
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.