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License: MIT

IoT-Data-Analytics-Architecture-for-Omibus-Ferry

IoT data processing architecture on AWS for a transport and payments solution.

Overview

✅ Real-time ingestion
✅ Serverless data transformation
✅ Metadata indexing with DynamoDB
✅ Dashboards and ML-ready datasets

Tools Used

API Gateway | Lambda | Glue | DynamoDB | S3 | QuickSight | SageMaker

Architecture Diagram

Caverton Data Analytics

Challenges & Solutions

Designing for high throughput ingestion from distributed devices while maintaining low latency.

Managing schema evolution and data cataloguing for continuous analytics use.

Ensuring secure access controls across multiple services.

Architecting for cost optimisation without sacrificing performance and scalability.

Outcomes

Enabled real-time data availability for executive and operations dashboards.

Reduced operational complexity through automation with Glue and Lambda.

Improved data governance via Glue Data Catalogue and DynamoDB metadata indexing.

Laid the foundation for advanced machine learning use cases with SageMaker.

Designed with multi-zonal high availability, ensuring zero downtime for critical ingestion pipelines.

Contact

📧 patrick.chibuzor@cavertonmarine.com | patrickanieke@gmail.com 🔗 www.linkedin.com/in/engr-patrick-anieke-a2ba3082

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IoT data processing architecture on AWS for a transport and payments solutions

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