• Web developers, software engineers, and data engineers looking to integrate Amazon DynamoDB with JavaScript applications for fast, scalable, and serverless data storage solutions.

• Basic knowledge of JavaScript
• Familiarity with cloud concepts and basic AWS services

Course Outline:

Module 1: Introduction to AWS DynamoDB

• Topics Covered:

• Overview of DynamoDB: Key Features and Use Cases
• DynamoDB vs. Relational Databases (SQL)
• Core Concepts: Tables, Items, Attributes
• Primary Keys: Partition Keys and Sort Keys
• DynamoDB Data Types
• Provisioned vs. On-Demand Capacity Modes

• Hands-On Labs:

• Setting up an AWS DynamoDB environment
• Creating a DynamoDB table using the AWS Management Console

Module 2: Getting Started with AWS SDK for JavaScript

• Topics Covered:

• Setting Up the AWS SDK for JavaScript
• Configuring AWS Credentials
• Introduction to DynamoDB SDK Methods
• Working with DocumentClient vs. DynamoDB Client

• Hands-On Labs:

• Initializing AWS SDK and setting up JavaScript project
• Using DocumentClient to interact with DynamoDB tables

Module 3: CRUD Operations in DynamoDB with JavaScript

• Topics Covered:

• Creating Items with put Operation
• Reading Items with get Operation
• Updating Items with update Operation
• Deleting Items with delete Operation
• Batch Operations: BatchGetItem and BatchWriteItem

• Hands-On Labs:

• Adding and reading data in DynamoDB with JavaScript
• Performing batch operations for efficient data processing

Module 4: Querying and Scanning Data

• Topics Covered:

• Queries vs. Scans in DynamoDB
• Querying by Partition Key and Sort Key
• Using Filters, Expressions, and Conditions in Queries
• Pagination and Handling Large Datasets
• Best Practices for Query and Scan Performance

• Hands-On Labs:

• Querying data with filters and expressions
• Implementing pagination for large dataset handling

Module 5: Data Modeling in DynamoDB

• Topics Covered:

• Designing for NoSQL and DynamoDB: Data Modeling Basics
• Single Table Design vs. Multiple Table Design
• Secondary Indexes: Global and Local Secondary Indexes
• Normalization vs. Denormalization
• Optimizing Data Models for Read and Write Efficiency

• Hands-On Labs:

• Creating Global and Local Secondary Indexes
• Implementing single-table design with multiple entities

Module 6: DynamoDB Performance Optimization

• Topics Covered:

• Understanding DynamoDB Capacity Units (Read/Write)
• Strategies for Reducing Read and Write Costs
• Fine-Tuning with Provisioned Capacity and Auto-Scaling
• Implementing Caching with DynamoDB Accelerator (DAX)

• Hands-On Labs:

• Configuring auto-scaling for DynamoDB tables
• Setting up and using DynamoDB Accelerator (DAX) for caching

Module 7: DynamoDB Streams and Triggers

• Topics Covered:

• Introduction to DynamoDB Streams and Event-Driven Architecture
• Setting up Lambda Triggers with DynamoDB Streams
• Real-time Data Processing with DynamoDB Streams and Lambda
• Event Sourcing and Change Data Capture (CDC)

• Hands-On Labs:

• Configuring a Lambda function trigger for DynamoDB Streams
• Processing real-time changes with a DynamoDB stream

Module 8: Backup, Restore, and Security

• Topics Covered:

• DynamoDB Backup and Restore Options
• Point-in-Time Recovery (PITR)
• Access Control with IAM Roles and Policies
• Encryption at Rest and in Transit

• Hands-On Labs:

• Setting up automatic backups for DynamoDB tables
• Configuring IAM roles and policies for table access control

Structured Labs and Project

• Structured Labs:

• Lab: Creating a DynamoDB table with primary and secondary indexes
• Lab: Performing CRUD operations using AWS SDK for JavaScript
• Lab: Designing a single-table architecture with multiple entities
• Lab: Setting up DynamoDB Streams with Lambda triggers
• Lab: Configuring DAX for performance optimization
• Lab: Implementing backup and recovery solutions

• Final Project:

Project: Build a JavaScript application that interacts with a DynamoDB database, implementing features such as data storage, querying, and real-time updates using streams and Lambda.

Training material provided: Yes (Digital format) 

Additional Information

Any additional information about  Labs / Software Installs required for the course