Traditional training – 4 500 zł net
Virtual classroom training – 4 275 zł net
Day 1
Module 0: Planning and Designing Databases on AWS
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
The journey to AWS
Data modeling basics
Module 5: Databases on Amazon RDS
Amazon RDS databases
Amazon RDS distinguishing features
Amazon RDS Design considerations
Lab 1: Working with Amazon RDS databases
Module 6: Databases in Amazon Aurora
Amazon Aurora databases
Aurora distinguishing features
Aurora design considerations
Day 2
Module 6: Databases in Amazon Aurora (continued)
Lab 2: Working with Amazon Aurora databases
Module 7: Databases in Amazon DocumentDB (with MongoDB compatibility)
Amazon DocumentDB
Amazon DocumentDB design considerations
Lab 3: Working with Amazon DocumentDB databases
Module 8: Amazon DynamoDB Tables
Amazon DynamoDB
DynamoDB data modeling
DynamoDB distinguishing features
DynamoDB design considerations
Lab 4: Working with Amazon DynamoDB Tables
Day 3
Module 9: Databases in Amazon Neptune
Amazon Neptune
Neptune design considerations
Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)
Amazon Quantum Ledger Database (Amazon QLDB)
Amazon QLDB Design Considerations
Module 11: Databases in Amazon ElastiCache
Amazon ElastiCache
ElastiCache for Memcached
ElastiCache for Redis
Module 12: Data Warehousing in Amazon Redshift
Amazon Redshift
Amazon Redshift distinguishing features
Amazon Redshift data modeling
Amazon Redshift design considerations
Lab 5: Working with Amazon Redshift Clusters
Module 13: Course Review
Day 1
Module 0: Planning and Designing Databases on AWS
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
– The journey to AWS
– Data modeling basics
Module 5: Databases on Amazon RDS
– Amazon RDS databases
– Amazon RDS distinguishing features
– Amazon RDS Design considerations
– Lab 1: Working with Amazon RDS databases
Module 6: Databases in Amazon Aurora
– Amazon Aurora databases
– Aurora distinguishing features
– Aurora design considerations
Day 2
Module 6: Databases in Amazon Aurora (continued)
– Lab 2: Working with Amazon Aurora databases
Module 7: Databases in Amazon DocumentDB (with MongoDB compatibility)
– Amazon DocumentDB
– Amazon DocumentDB design considerations
– Lab 3: Working with Amazon DocumentDB databases
Module 8: Amazon DynamoDB Tables
– Amazon DynamoDB
– DynamoDB data modeling
– DynamoDB distinguishing features
– DynamoDB design considerations
– Lab 4: Working with Amazon DynamoDB Tables
Day 3
Module 9: Databases in Amazon Neptune
– Amazon Neptune
– Neptune design considerations
Module 10: Databases in Amazon Quantum Ledger Database (Amazon QLDB)
– Amazon Quantum Ledger Database (Amazon QLDB)
– Amazon QLDB Design Considerations
Module 11: Databases in Amazon ElastiCache
– Amazon ElastiCache
– ElastiCache for Memcached
– ElastiCache for Redis
Module 12: Data Warehousing in Amazon Redshift
– Amazon Redshift
– Amazon Redshift distinguishing features
– Amazon Redshift data modeling
– Amazon Redshift design considerations
– Lab 5: Working with Amazon Redshift Clusters
Module 13: Course Review
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