Curriculum
- 3 Sections
- 13 Lessons
- 3 Days
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- Day 13
- 1.1Module 1: AWS Purpose-Built Databases Discussing well-architected databases Analyzing workload requirements Choosing the data model Choosing the right purpose-built database Knowledge check
- 1.2Module 2: Amazon Relational Database Service (Amazon RDS) Discussing a relational database What is Amazon RDS? Why Amazon RDS? Amazon RDS design considerations Knowledge check
- 1.3Module 3: Amazon Aurora What is Amazon Aurora? Why Amazon Aurora? Aurora design considerations Knowledge check Challenge Lab 1: Working with Amazon Aurora databases
- Day 24
- 2.1Module 4: Amazon DynamoDB Discussing a key value database What is DynamoDB? Why DynamoDB? DynamoDB design considerations Knowledge check
- 2.2Module 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
- 2.3Module 6: Amazon DocumentDB (with MongoDB compatibility) Discussing a document database What is Amazon DocumentDB? Why Amazon DocumentDB? Amazon DocumentDB design considerations Knowledge check
- 2.4Module 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 36
- 3.1Module 8: Amazon Neptune Discussing a graph database What is Amazon Neptune? Why Amazon Neptune? Amazon Neptune design considerations Knowledge check
- 3.2Module 9: Amazon Timestream Discussing a timeseries database What is Amazon Timestream? Why Amazon Timestream? Amazon Timestream design considerations Knowledge check
- 3.3Module 10: Amazon ElastiCache Discussing an in-memory database What is ElastiCache? Why ElastiCache? ElastiCache design considerations Knowledge check
- 3.4Module 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
- 3.5Module 12: Amazon Redshift Discussing a data warehouse What is Amazon Redshift? Why Amazon Redshift? Amazon Redshift design considerations Knowledge Check
- 3.6Module 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
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
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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
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