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: Working with Amazon Aurora databases.
• Class Activity: 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: Choose the Right Nonrelational Database.
• Challenge Lab: Working with Amazon DynamoDB Tables.
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: 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: Overall Picture.
• Challenge Lab: Working with Amazon Redshift clusters.
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