BMANDAWAmazon Web ServicesAW-BMAND1.0<ul> <li>Build modern applications for the cloud using AWS purpose-built NoSQL databases</li><li>Illustrate solutions using AWS purpose-built databases for handling key-value, document, and in-memory data categories</li><li>Analyze business use cases and apply advanced features of Amazon DynamoDB, ElastiCache, or DocumentDB to implement a scalable solution</li><li>Implement event-driven architectures using change streams and AWS Lambda</li><li>Learn how to build solutions faster with Amazon CodeWhisperer</li></ul><p>We recommend that attendees of this course have: </p> <ul> <li>Familiarity with cloud computing concepts</li><li>Familiarity with data modeling for relational or NoSQL databases</li><li>Working experience with Amazon DynamoDB table design</li><li>Working experience with Amazon DocumentDB table design</li><li>Working experience with ElastiCache for Redis</li><li>Familiarity with AWS Lambda and Amazon API Gateway database services</li><li>Familiarity with Python scripting</li></ul><p>This course is intended for: </p> <ul> <li>Database developers</li><li>Solutions architects</li><li>Database engineers</li></ul><h4>Module 1: Analyze Use Cases for NoSQL Databases</h4><ul> <li>Business overview</li><li>Workload solution overview</li><li>AWS NoSQL database portfolio</li><li>Design decisions for a modern application</li></ul><h4>Module 2: Advanced Amazon DynamoDB Concepts</h4><ul> <li>Review business workloads for Amazon DynamoDB</li><li>Analyze access patterns and key design</li><li>Create the data model</li><li>Design for performance</li><li>Design event-driven architectures using DynamoDB Streams</li><li>Guided Tour: Design tables using NoSQL Workbench for DynamoDB</li><li>Guided Tour: Use DynamoDB Streams with AWS Lambda</li><li>Hands-on Lab: Implement Fleet and Trip Data Management using Amazon DynamoDB Tables, Indexes, and Change Streams</li></ul><h4>Module 3: Advanced Amazon DocumentDB Concepts</h4><ul> <li>Review business workloads for Amazon DocumentDB</li><li>Analyze access patterns</li><li>Create the data model</li><li>Design for performance</li><li>Use Amazon DocumentDB aggregation framework</li><li>Design event-driven architecture using Amazon DocumentDB</li><li>Guided Tour: Document and collection design</li><li>Guided Tour: Aggregation framework</li><li>Guided Tour: Use Amazon DocumentDB Change streams with AWS Lambda</li><li>Hands-on Lab: Implement and Optimize User Profile Data Management Workload on Amazon DocumentDB</li></ul><h4>Module 4: Advanced Amazon ElastiCache for Redis Concepts</h4><ul> <li>Review business workloads for Amazon ElastiCache for Redis</li><li>Analyze access patterns</li><li>Create the data model</li><li>Use optimal data structures for the workload</li><li>Guided Tour: Use Amazon ElastiCache for Redis to apply geospatial queries</li><li>Guided Tour: Use Amazon ElastiCache for Redis to natively store and access JSON data</li><li>Guided Tour: Use Amazon ElastiCache for Redis with leaderboards</li><li>Hands-on Lab: Implement Geospatial Bike Searches, User Profile Caching, and Leaderboards with Amazon ElastiCache for Redis</li></ul><h4>Module 5: Course Summary</h4><ul> <li>Course review</li><li>AWS Certification levels</li><li>Continue your learning</li></ul>- Build modern applications for the cloud using AWS purpose-built NoSQL databases - Illustrate solutions using AWS purpose-built databases for handling key-value, document, and in-memory data categories - Analyze business use cases and apply advanced features of Amazon DynamoDB, ElastiCache, or DocumentDB to implement a scalable solution - Implement event-driven architectures using change streams and AWS Lambda - Learn how to build solutions faster with Amazon CodeWhispererWe recommend that attendees of this course have: - 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 scriptingThis course is intended for: - Database developers - Solutions architects - Database engineersModule 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 learning1 day695.00895.00895.00895.00900.00870.00960.00895.00895.00850.00