Planning and Designing Databases on AWS
Описание
Planning and Designing Databases on AWS*
Learn how to select and use the ideal AWS database solutions
Learn how to identify and design the most suitable AWS database solutions so you can modernize your data infrastructure with fully managed, purpose-built databases to save time and cost, improve performance and scale, and accelerate innovation.
Intended for solutions architects, database architects, database developers, an expert AWS instructor will guide you through the features and characteristics of eleven databases including SQL services like Amazon RDS and Amazon Aurora, and NoSQL services such as Amazon Neptune, Amazon DynamoDB, Amazon DocumentDB, and more, as well as the design considerations that you should make while using them.
What you’ll learn
- Summarize the AWS Well-Architected Framework for designing database solutions
- Choose an appropriate purpose-built database service for a given workload
- Design a relational database solution to solve a business problem
- Design a NoSQL database solution to solve a business problem
- And much more
Who should take this course
- Solutions architects
- Database architects
- Developers
What experience you’ll need
- Familiarity with AWS database service
- Understanding of database design concepts and/or data modeling for relational or nonrelational databases
- Familiarity with cloud computing concepts
- Familiarity with general networking and encryption concepts
* — курс проводится онлайн, на английском языке
Программа курса
Day 1
Module 0: Course Introduction
• Course overview
Module 1: AWS Purpose-Built Databases
• Discussing well-architected databases
• Analyzing workload requirements
• Choosing the data model
• Choosing the right purpose-built database
• Knowledge check
Module 2: Amazon Relational Database Service (Amazon RDS)
• Discussing a relational database
• What is Amazon RDS?
• Why Amazon RDS?
• Amazon RDS design considerations
• Knowledge check
Module 3: Amazon Aurora
• What is Amazon Aurora?
• Why Amazon Aurora?
• Aurora design considerations
• Knowledge check
Challenge Lab 1: Working with Amazon Aurora databases
Day 2
Class Activity 1: Choose the Right Relational Database
Module 4: Amazon DynamoDB
• Discussing a key value database
• What is DynamoDB?
• Why DynamoDB?
• DynamoDB design considerations
• Knowledge check
Module 5: Amazon Keyspaces (for Apache Cassandra)
• Discussing a wide-column database
• What is Apache Cassandra?
• What is Amazon Keyspaces?
• Why Amazon Keyspaces?
• Amazon Keyspaces design considerations
• Knowledge check
Module 6: Amazon DocumentDB (with MongoDB compatibility)
• Discussing a document database
• What is Amazon DocumentDB
• Why Amazon DocumentDB?
• Amazon DocumentDB design considerations
• Knowledge check
Module 7: Amazon Quantum Ledger Database (Amazon QLDB)
• Discussing a ledger database
• What is Amazon QLDB?
• Why Amazon QLDB?
• Amazon QLDB design considerations
• Knowledge check
Class Activity 2: Choose the Right Nonrelational Database
Challenge Lab 2: Working with Amazon DynamoDB Tables
Day 3
Module 8: Amazon Neptune
• Discussing a graph database
• What is Amazon Neptune?
• Why Amazon Neptune?
• Amazon Neptune design considerations
• Knowledge check
Module 9: Amazon Timestream
• Discussing a timeseries database
• What is Amazon Timestream?
• Why Amazon Timestream?
• Amazon Timestream design considerations
• Knowledge check
Module 10: Amazon ElastiCache
• Discussing an in-memory database
• What is ElastiCache?
• Why ElastiCache?
• ElastiCache design considerations
• Knowledge check
Module 11: Amazon MemoryDB for Redis
• What is Amazon MemoryDB (for Redis)?
• Why Amazon MemoryDB?
• Amazon MemoryDB design considerations
• Knowledge check
Class Activity 3: Let’s Cache In
Module 12: Amazon Redshift
• Discussing a data warehouse
• What is Amazon Redshift?
• Why Amazon Redshift?
• Amazon Redshift design considerations
• Knowledge check
Module 13: Tools for Working with AWS Databases
• Data access and analysis with Amazon Athena
• Data migration with SCT and DMS
Class Activity 4: Overall Picture
Challenge Lab 3: Working with Amazon Redshift clusters
Расписание
Время проведения курса пока не определено, отправьте нам заявку, пожалуйста.
Возможно, мы предложим пройти курс в дистанционном режиме или организуем выездной курс, если у Вас группа.