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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.
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Course Contents
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- Module 0: Course Introduction
- Module 1: AWS Purpose-Built Databases
- Module 2: Amazon Relational Database Service (Amazon RDS)
- Module 3: Amazon Aurora
- Module 4: Amazon DynamoDB
- Module 5: Amazon Keyspaces (for Apache Cassandra)
- Module 6: Amazon DocumentDB (with MongoDB compatibility)
- Module 7: Amazon Quantum Ledger Database (Amazon QLDB)
- Module 8: Amazon Neptune
- Module 9: Amazon Timestream
- Module 10: Amazon ElastiCache
- Module 11: Amazon MemoryDB for Redis
- Module 12: Amazon Redshift
You have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
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Target Group
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- Solutions architects
- Database architects
- Developers
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Knowledge Prerequisites
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We recommend the following prerequisites for attendees of this course:
• Familiarity with AWS database services
• 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
• Completion of the digital course Introduction to Building with AWS Databases
| 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 |
| 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 |
| 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 |
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Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.-
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.
-
Course Contents
-
- Module 0: Course Introduction
- Module 1: AWS Purpose-Built Databases
- Module 2: Amazon Relational Database Service (Amazon RDS)
- Module 3: Amazon Aurora
- Module 4: Amazon DynamoDB
- Module 5: Amazon Keyspaces (for Apache Cassandra)
- Module 6: Amazon DocumentDB (with MongoDB compatibility)
- Module 7: Amazon Quantum Ledger Database (Amazon QLDB)
- Module 8: Amazon Neptune
- Module 9: Amazon Timestream
- Module 10: Amazon ElastiCache
- Module 11: Amazon MemoryDB for Redis
- Module 12: Amazon Redshift
You have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
-
Target Group
-
- Solutions architects
- Database architects
- Developers
-
Knowledge Prerequisites
-
We recommend the following prerequisites for attendees of this course:
• Familiarity with AWS database services
• 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
• Completion of the digital course Introduction to Building with AWS Databases
| 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 |
| 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 |
| 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 |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.
Online Training
Trainer language German