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Machine Lerning Engineer
An expert AWS instructor will help you understand how to build applications that involve complex data characteristics and millisecond performance requirements from your databases. You will learn to use purpose-built databases to build typical modern application diverse access patterns and real-time scaling needs. Through a series of presentations, guided tours, group discussions, and hands-on labs, you will learn to describe advanced features of Amazon DynamoDB, Amazon DocumentDB (with Mongo compatibility), and Amazon ElastiCache for Redis.
1. Analyze Use Cases for NoSQL Databases
- Business overview
- Workload solution overview
- AWS NoSQL database portfolio
- Design decisions for a modern application
2. Advanced Amazon DynamoDB Concepts
- Review business workloads for Amazon DynamoDB
- Analyze access patterns and key design
- Create the data model
- Design for performance
- Design event-driven architectures using DynamoDB Streams
- Guided Tour: Design tables using NoSQL Workbench for DynamoDB
- Guided Tour: Use DynamoDB Streams with AWS Lambda
- Hands-on Lab: Implement Fleet and Trip Data Management using Amazon DynamoDB
- Tables, Indexes, and Change Streams
3. Advanced Amazon DocumentDB Concepts
- Review business workloads for Amazon DocumentDB
- Analyze access patterns
- Create the data model
- Design for performance
- Use Amazon DocumentDB aggregation framework
- Design event-driven architecture using Amazon DocumentDB
- Guided Tour: Document and collection design
- Guided Tour: Aggregation framework
- Guided Tour: Use Amazon DocumentDB Change streams with AWS Lambda
- Hands-on Lab: Implement and Optimize User Profile Data Management Workload on
- Amazon DocumentDB
4. Advanced Amazon ElastiCache for Redis Concepts
- Review business workloads for Amazon ElastiCache for Redis
- Analyze access patterns
- Create the data model
- Use optimal data structures for the workload
- Guided Tour: Use Amazon ElastiCache for Redis to apply geospatial queries
- Guided Tour: Use Amazon ElastiCache for Redis to natively store and access JSON data
- Guided Tour: Use Amazon ElastiCache for Redis with leaderboards
- Hands-on Lab: Implement Geospatial Bike Searches, User Profile Caching, and Leaderboards with Amazon ElastiCache for Redis
5. Course Summary
- Course review
- AWS Certification level
Requirements:
Familiarity with:
- Cloud computing concepts
- Data modeling for relational or NoSQL databases
- AWS Lambda and Amazon API Gateway database services
- Python scripting
Working experience with:
- Amazon DynamoDB table design
- Amazon DocumentDB table design
- ElastiCache for Redis
- Building modern applications for the cloud using AWS purpose-built NoSQL databases
- Illustrating solutions using AWS purpose-built databases for handling 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 using change streams and AWS Lambda
- Building solutions faster with Amazon CodeWhisperer
This course consists of an online seminar 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
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