• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

This course equips you with the skills to analyze Use cases for NoSQL databases, covering critical aspects such as Business and workload solution overviews, and in-depth training on AWS NoSQL database portfolio. Learn data modeling, performance design, and event-driven architectures to effectively handle real-world applications. Apply your knowledge to manage and Optimize data-intensive applications, ensuring you leave ready to tackle any challenge in the modern data environment.

Audience profile
  • Database developers

  • Solutions architects

  • Database engineers

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Course details

Module 1: Analyze Use Cases for NoSQL Databases
• Business overview
• Workload solution overview
• AWS NoSQL database portfolio
• Design decisions for a modern application

Module 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

Module 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

Module 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

Module 5: Course Summary
• Course review
• AWS Certification levels
• Continue your learning

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Prerequisites

  • Familiarity with cloud computing concepts 
  • Familiarity with data modeling for relational or NoSQL databases 
  • Working experience with Amazon DynamoDB table design
  • Working experience with Amazon DocumentDB table design 
  • Working experience with ElastiCache for Redis
  • Familiarity with AWS Lambda and Amazon API Gateway database services 
  • Familiarity with Python scripting

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