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Machine Learning Engineer
An AWS expert will help you understand how to build applications with complex data characteristics and millisecond-level performance requirements for your databases. You will learn how to use purpose-built databases to create typical modern applications with different access patterns and real-time scaling requirements. Through a series of presentations, guided tours, group discussions, and hands-on exercises, you will get to know the advanced features of Amazon DynamoDB, Amazon DocumentDB (with MongoDB compatibility), and Amazon ElastiCache for Redis.
1. analyzing use cases for NoSQL databases
- Business overview
- Overview of workload solutions
- AWS NoSQL database portfolio
- Design decisions for a modern application
2. advanced Amazon DynamoDB concepts
- Reviewing business workloads for Amazon DynamoDB
- Analyzing access patterns and key design
- Creating the data model
- Designing for performance
- Designing event-driven architectures with DynamoDB Streams
- Guided tour: Designing tables with NoSQL Workbench for DynamoDB
- Guided tour: Using DynamoDB Streams with AWS Lambda
- Hands-on lab: Implementing fleet and travel data management with Amazon DynamoDB
- Tables, indexes, and change streams
3. advanced Amazon DocumentDB concepts
- Reviewing business workloads for Amazon DocumentDB
- Analyzing access patterns
- Creating the data model
- Designing for performance
- Using the Amazon DocumentDB Aggregation Framework
- Designing an event-driven architecture with Amazon DocumentDB
- Guided tour: Designing documents and collections
- Guided tour: Aggregation Framework
- Guided tour: Using Amazon DocumentDB Change Streams with AWS Lambda
- Hands-on lab: Implementing and optimizing user profile data management workloads on Amazon DocumentDB
4. advanced Amazon ElastiCache for Redis Concepts
- Reviewing business workloads for Amazon ElastiCache for Redis
- Analyzing access patterns
- Creating the data model
- Using optimal data structures for the workload
- Guided tour: Using Amazon ElastiCache for Redis for geospatial queries
- Guided tour: Using Amazon ElastiCache for Redis to natively store and access JSON data
- Guided tour: Using Amazon ElastiCache for Redis with leaderboards
- Hands-on lab: Implementing geographic bike searches, user profile caching, and leaderboards with Amazon ElastiCache for Redis
- Creating modern applications for the cloud with NoSQL databases specifically designed for AWS
- Illustrating solutions with purpose-built databases for processing key-value, document, and in-memory data categories
- Analyzing business use cases and applying advanced features of Amazon DynamoDB to implement a scalable solution
- Implementing event-driven architectures with change streams and AWS Lambda
- Building solutions faster with Amazon CodeWhisperer
This course consists of an online training and is led by a trainer who provides live support to the participants. Theory and practice are conveyed through live demonstrations and practical exercises. The video conferencing software Zoom is used.
This course is for:
- Database Developers
- Solution Architects
- Database Engineers
We recommend familiarity with:
- Cloud computing concepts
- Data modeling for relational or NoSQL databases
- AWS Lambda and Amazon API Gateway database services
- Python scripting
We recommend work experience with:
- Amazon DynamoDB table design
- Amazon DocumentDB table design
- ElastiCache for Redis
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