Stream vs Polling Comparison in DynamoDB
📖 Scenario: You are building a simple inventory tracking system using DynamoDB. You want to understand how to detect changes in your inventory data efficiently.Two common methods are DynamoDB Streams and polling the table for changes. This project will help you set up both methods step-by-step to compare how they work.
🎯 Goal: Build a DynamoDB table with sample inventory data, configure a stream on the table, and write a polling query to fetch recent changes. This will help you see the difference between using streams and polling for data updates.
📋 What You'll Learn
Create a DynamoDB table named
Inventory with a primary key ItemID.Insert sample items with exact
ItemID and Quantity values.Enable DynamoDB Streams on the
Inventory table with NEW_IMAGE view type.Write a polling query to scan the
Inventory table for items with Quantity less than 10.💡 Why This Matters
🌍 Real World
Many applications need to react to data changes in real time. DynamoDB Streams provide an efficient way to capture these changes without repeatedly scanning the table.
💼 Career
Understanding streams and polling is important for backend developers and cloud engineers working with AWS DynamoDB to build scalable and responsive applications.
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