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Machine Learning Engineer
An expert AWS instructor will help you understand how to build applications that involve complex data characteristics and require millisecond-level performance from your databases. You will learn to use purpose-built databases to support the diverse access patterns and real-time scaling needs typical of modern applications. Through a series of presentations, guided tours, group discussions, and hands-on labs, you will learn to describe the 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: Using 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 the 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 Run 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
Work experience with:
- Amazon DynamoDB table design
- Amazon DocumentDB table design
- ElastiCache for Redis
- Building modern applications for the cloud using AWS's purpose-built NoSQL databases
- Illustrating solutions that use AWS purpose-built databases to handle 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 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
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