Build Modern Applications with AWS NoSQL Databases

Do you have applications that must be delivered with nearly infinite storage and throughput, along with reliable, high performance? Discover how to create contemporary applications with AWS’s specially designed NoSQL databases with Build Modern Application with AWS NoSQL Databases.

You will receive guidance from a knowledgeable AWS instructor on how to develop applications involving intricate data properties and millisecond performance demands from your databases. You will discover how to create modern applications with a variety of access patterns and real-time scaling requirements by using purpose-built databases. You will learn to describe advanced features of Amazon DynamoDB, Amazon DocumentDB (with Mongo compatibility), and Amazon ElastiCache for Redis through a series of presentations, guided tours, group discussions, and hands-on labs.

After Completing this course, students will be able to:

  • Create cutting-edge cloud apps with AWS specialized NoSQL databases.
  • Provide examples of solutions utilizing AWS-specific databases designed to handle document, in-memory, and key-value data types.
  • To create a scalable solution, examine businesses’ use cases and use Amazon DynamoDB's advanced features.
  • Create event-driven architectures with AWS Lambda and change streams.
  • Discover how to use Amazon CodeWhisperer to create solutions more quickly.

Upcoming Batches

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Start Date End Date

2024-12-30

2024-12-31

2025-01-06

2025-01-07

2025-01-13

2025-01-14

2025-01-20

2025-01-21

2025-01-27

2025-01-28

Key Features of the Course Build Modern Applications with AWS NoSQL Databases:

  • Comprehensive Curriculum: The course covers major aspects about NoSQL Databases and solutions provided by AWS for the same.

  • Hands-On Labs: Participants will have the opportunity to work on real-world scenarios and projects, gaining practical experience with AWS tools and services.

  • Experienced Instructors: The course is taught by industry experts with years of experience in AWS, ensuring high-quality instruction.

  • Flexible Schedule: The course is offered online and in-person, with options for full-time or part-time study.

  • Certification: Participants will receive a certificate of completion at the end of the course.

Who can participate in the training Get well versed with Dataverse?

  • Database developers
  • Solutions architects
  • Database engineers

What are the prerequisites for the training?

    Knowledge of:
  • Cloud computing principles
  • Relational or NoSQL database data modelling
  • Database services provided by Amazon API Gateway and AWS Lambda
  • Python programming
      • Working knowledge of
    • Amazon DynamoDB table design
    • Amazon DocumentDB table design
    • ElastiCache for Redis

    Course Outline Download Course Outline

    • Business overview
    • Workload solution overview
    • AWS NoSQL database portfolio
    • Design decisions for a modern application

    • 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

    • 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

    • 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

    • Course review
    • AWS Certification levels
    • Continue your learning

    Course Fee

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    Course ID: 20743

    Course Price at

    $499 + 0% TAX
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