Build Modern Apps with Purpose-Built Databases

In this six-course curriculum, you will learn the value and process of using purpose-built databases in the AWS Cloud. This curriculum includes tutorials of five purpose-built databases on Amazon Web Services (AWS). You will use a restaurant review and rating application as a guiding example.

     • Skill level: Intermediate      • Duration: 3 hours

Activities

This curriculum includes courses with presentations and video demonstrations.

Curriculum objectives

In this curriculum, you will learn to:      • Explain the value of using purpose-built databases to meet specific application needs.      • Identify the factors you need to consider when choosing purpose-built databases.      • Design an Amazon DynamoDB database for a restaurant review and rating application.      • Add caching to your restaurant review and rating application using Amazon ElastiCache.      • Add a fraud-detection service with Amazon Neptune for storage.      • Manage marketing resources with Amazon DocumentDB (with MongoDB compatibility) for storage.      • Add a user management service to your application with Amazon Keyspaces (for Apache Cassandra) for storage.

This curriculum is intended for:      • Customers, Amazonians, and AWS Partners who have experience with AWS, including a background in database administration       and design      • Data platform engineers      • Database developers      • Solutions architects

Prerequisites

We recommend that attendees of this curriculum have:      • A basic understanding of databases, including maintenance and support      • Completed the AWS Planning and Designing Databases course 

Curriculum outline

Course 1: Getting Started with Purpose-Built Databases      • Lesson 1. Introduction      • Lesson 2. Why Purpose-Built Databases?      • Lesson 3. Factors to Consider      • Lesson 4. Next Steps

Course 2: High Performance and Scale with Amazon DynamoDB      • Lesson 1. Introduction      • Lesson 2. Step 1: Create an AWS Cloud9 Environment      • Lesson 3. Step 2: Prepare for Data Modeling with DynamoDB      • Lesson 4. Step 3: Plan Your Data Model and Create a DynamoDB Table      • Lesson 5. Step 4: Interact with DynamoDB in Your Application      • Lesson 6. Step 5: Clean Up Resources      • Lesson 7. Conclusion

Course 3: Caching for High-Volume Workloads with Amazon ElastiCache      • Lesson 1. Introduction      • Lesson 2. Step 1: Create an AWS Cloud9 Environment      • Lesson 3. Step 2: Create a Redis Instance by Using ElastiCache      • Lesson 4. Step 3: Implement a Cache-Aside Strategy with Your Instance      • Lesson 5. Step 4: Clean Up Resources      • Lesson 6. Conclusion   Course 4: Graph Relationships with Amazon Neptune      • Lesson 1. Introduction      • Lesson 2. Step 1: Create an AWS Cloud9 Environment      • Lesson 3. Step 2: Create a Neptune Database      • Lesson 4. Step 3: Design Your Graph Data Model and Load Sample Data      • Lesson 5. Step 4: Use a Graph Database in Your Application      • Lesson 6. Step 5: Clean Up Resources      • Lesson 7. Conclusion

Course 5: Document Storage with Amazon DocumentDB      • Lesson 1. Introduction      • Lesson 2. Step 1: Create an AWS Cloud9 Environment      • Lesson 3. Step 2: Create an Amazon DocumentDB Database      • Lesson 4. Step 3: Design a Document Data Model and Load Sample Data      • Lesson 5. Step 4: Use Amazon DocumentDB in Your Application      • Lesson 6. Step 5: Clean Up Resources      • Lesson 7. Conclusion

Course 6: Scalability and Familiarity with Amazon Keyspaces      • Lesson 1. Introduction      • Lesson 2. Step 1: Create an AWS Cloud9 Environment      • Lesson 3. Step 2: Create an Amazon Keyspaces Table      • Lesson 4. Step 3: Insert, Read, and Delete Data with Amazon Keyspaces      • Lesson 5. Step 4: Clean Up Resources      • Lesson 6. Conclusion