Exploring real-time and batch analytics for e-bike telemetry with Quix and AWS
We've collaborated with AWS to help Brompton Bikes build a real-time architecture to enhance the rider's experience. In this blog post, I dig into the challenges, the design choices and the technical implementation of what we did.
In case you missed it...
Earlier this month we open-sourced Quix Streams, a library for telemetry data streaming. It has been designed for building real-time applications that process high volumes of telemetry data when developers need a quick response and guaranteed reliability at scale. This is a new OSS project and we're looking forward to having data engineers shape and evolve the roadmap.
More news and insights
- Understanding the power of real-time stream processing - Read more
- Is data lineage important? Read more
- Ten Flink gotchas we wish we had known - Read more
- Upcoming Stream Processing Meetup in Munich. Quix's VP of Data Tun Shwe will be on stage. Join us there! - Sign up for free
- Real-Time Analytics Summit in San Fran. Lots of great talk stretching the breadth of the real-time ecosystem. Our CTO Tomas will be on stage and new Quixer Dave Klein will be too. - View the schedule
Meme of the Month
With our founders coming from McLaren F1, we couldn't resist including this one.
Mike Rosam is Co-Founder and CEO at Quix, where he works at the intersection of business and technology to pioneer the world's first streaming data development platform. He was previously Head of Innovation at McLaren Applied, where he led the data analytics product line. Mike has a degree in Mechanical Engineering and an MBA from Imperial College London.
