linktr.ee/bayoadejare
Proven architecture > quick fixes.
Full deep-dive: t.co/Q5KTdiRaA3
#DataEngineering #Azure #Databricks #Analytics
Proven architecture > quick fixes.
Full deep-dive: t.co/Q5KTdiRaA3
#DataEngineering #Azure #Databricks #Analytics
Building real-time data systems? What's your biggest challenge?
Like/Repost if you're building with us! 🔁
#Kafka #DataEngineering #IoT #OpenSource
Building real-time data systems? What's your biggest challenge?
Like/Repost if you're building with us! 🔁
#Kafka #DataEngineering #IoT #OpenSource
Watch here:
youtube.com/watch?v=FX68...
Next: Episode 5 - Data Transformation & Feature Engineering.
Watch here:
youtube.com/watch?v=FX68...
Next: Episode 5 - Data Transformation & Feature Engineering.
We turn this raw OBD-II data:
`7E8 06 41 00 BF 9B 00 00 00`
Into clean, real-time JSON for ML models.
We turn this raw OBD-II data:
`7E8 06 41 00 BF 9B 00 00 00`
Into clean, real-time JSON for ML models.
Tech Stack:
✅ Apache Kafka + Faust (in Python)
✅ OBD-II device integration
✅ Real-time anomaly detection
✅ Exactly-once processing (no data loss)
All with open-source tools.
Tech Stack:
✅ Apache Kafka + Faust (in Python)
✅ OBD-II device integration
✅ Real-time anomaly detection
✅ Exactly-once processing (no data loss)
All with open-source tools.
🌍 Shape the future of data-driven decision-making.
🚀 Work in a fast-paced, collaborative environment where your ideas matter.
💡 Tackle challenges that push you to grow and innovate daily.
🎉 Be part of a culture that values curiosity, creativity, and a good laugh.
🌍 Shape the future of data-driven decision-making.
🚀 Work in a fast-paced, collaborative environment where your ideas matter.
💡 Tackle challenges that push you to grow and innovate daily.
🎉 Be part of a culture that values curiosity, creativity, and a good laugh.
Like/Repost if you're following along! 🔁
#Docker #Kafka #MLOps #OpenSource #FleetTech
Like/Repost if you're following along! 🔁
#Docker #Kafka #MLOps #OpenSource #FleetTech
youtu.be/koaX4_kCCDU
Next up: Episode 4 - Real-time data ingestion from OBD-II devices.
youtu.be/koaX4_kCCDU
Next up: Episode 4 - Real-time data ingestion from OBD-II devices.
`docker compose up -d`
That's it. Your entire dev environment is ready. Perfect for testing predictive maintenance & routing algorithms.
`docker compose up -d`
That's it. Your entire dev environment is ready. Perfect for testing predictive maintenance & routing algorithms.
✅ TimescaleDB for time-series
✅ MinIO (S3-compatible) for storage
✅ MLflow for model tracking
✅ Grafana + Dash dashboards
✅ 100+ simulated vehicles
✅ TimescaleDB for time-series
✅ MinIO (S3-compatible) for storage
✅ MLflow for model tracking
✅ Grafana + Dash dashboards
✅ 100+ simulated vehicles
Ep 3: Environment setup
Ep 4: Kafka + OBD-II data ingestion
RT if you're building in fleet tech! 🔁
6/7
Ep 3: Environment setup
Ep 4: Kafka + OBD-II data ingestion
RT if you're building in fleet tech! 🔁
6/7
5/7
5/7