𝐇𝐨𝐰 𝐃𝐨𝐞𝐬 𝐁𝐲𝐭𝐞𝐰𝐚𝐱 𝐀𝐜𝐜𝐞𝐥𝐞𝐫𝐚𝐭𝐞 𝐭𝐡𝐞 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐓𝐫𝐮𝐜𝐤𝐢𝐧𝐠? 🚛⚡
At Bytewax, we’re on a mission to empower Python engineering teams to solve complex real-time challenges and deploy robust data pipelines—fast.
Few of our customers exemplify this better than Range Energy.
With a lean engineering team—operating without dedicated data scientists or data engineers—Range uses Bytewax and the Python ecosystem to build, test, and deploy complex real-time data pipelines with remarkable speed.
𝘖𝘯𝘦 𝘴𝘵𝘢𝘯𝘥𝘰𝘶𝘵 𝘶𝘴𝘦 𝘤𝘢𝘴𝘦? 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐬𝐞𝐠𝐦𝐞𝐧𝐭 𝐦𝐚𝐭𝐜𝐡𝐢𝐧𝐠.
Using Bytewax, Range Energy integrates specialized Python libraries like Shapely to match trailer GPS data with predefined route segments in real time—a task that SQL-based stream processors struggle to achieve. This capability allows Range to compare telematics data to predefined routes, evaluating trailer performance and configuration. Each segment becomes a real-world experiment, offering valuable insights to accelerate vehicle development.
Bytewax plays a central role in Range Energy's real-time architecture. With the Bytewax Platform, they effectively manage and monitor a growing number of real-time dataflows, ensuring scalability and reliability.
Learn more about Range Energy’s journey with Bytewax and how they are accelerating trucking electrification with stream processing in our blog ➡️ https://lnkd.in/eswWAfFi