Real-time Analytics in Education Platforms

Introduction

Building real-time analytics for education platforms requires careful consideration of data processing, storage, and visualization. Here's how we implemented it in HomeSchool OS.

Data Architecture

Our analytics pipeline consists of several key components:

analytics/
├── collectors/
│   ├── activity/
│   ├── progress/
│   └── assessments/
├── processing/
│   ├── streaming/
│   └── batch/
└── visualization/
    ├── dashboards/
    └── reports/
      

Implementation Details

• Stream processing with Apache Kafka
• Time-series data storage
• Real-time aggregations
• Customizable dashboards

Performance Metrics

• Sub-second data availability
• 25k+ concurrent users
• 1M+ daily events processed
• Custom report generation < 3s