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Real-Time Data Analytics Platform for Global Educational Ecosystem with Scalable Reporting and Personalized Learning Insights
  1. case
  2. Real-Time Data Analytics Platform for Global Educational Ecosystem with Scalable Reporting and Personalized Learning Insights

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Real-Time Data Analytics Platform for Global Educational Ecosystem with Scalable Reporting and Personalized Learning Insights

nix-united.com
Education
Information technology

Challenges in Real-Time Data Processing and Personalized Learning Insights

The client struggles with processing millions of daily test submissions across diverse educational platforms, lacking automated real-time assessment capabilities. Existing systems fail to provide timely analytics for personalized teaching approaches, while massive data volumes overwhelm storage and BI reporting workflows.

About the Client

A multinational education technology company operating platforms for K-12 to university-level students, serving 12 million users globally.

Objectives for Enhanced Data Analytics Platform

  • Implement scalable data pipelines for real-time ingestion from internal/external sources
  • Develop AI-driven analytics core for automated student work evaluation
  • Create adaptive reporting system with real-time/scheduled/customizable outputs for stakeholders

Core System Functionalities and Features

  • Real-time data ingestion pipelines via API Gateway/Kinesis Firehose
  • Automated scoring engine with MongoDB/S3 persistence
  • Multi-tenant report generation (17+ templates) with latency optimization
  • Historical data warehouse integration with Snowflake/Looker
  • Event-driven architecture for cross-system notifications

Technology Stack Requirements

AWS
Snowflake
Spring Framework
Apache Spark
Jenkins
MongoDB Atlas

System Integration Needs

  • MongoDB/S3 data export pipelines
  • Kinesis Firehose data streams
  • AWS Lambda microservices
  • Looker BI visualization layer
  • SQS/SNS messaging queues

Operational Requirements

  • Support 40GB/day throughput with <5s report latency
  • 99.99% system availability with auto-scaling
  • Role-based access control for sensitive student data
  • Automated CI/CD pipelines via Jenkins templates
  • Cost-optimized data processing with Spark clusters

Anticipated Business Outcomes

Enables real-time personalized learning feedback for 12M+ students, reduces manual grading workload by 70%, and provides actionable insights for educators through 17+ report types. Snowflake integration will unlock predictive analytics capabilities while AWS-based scalability ensures future growth capacity.

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