Amtrak 用 Databricks 构建数据底座，支撑 50 年来最大转型
Amtrak 用 Databricks 统一列车与运营数据，以机器学习驱动维护和调度，支撑其大规模现代化转型。
Amtrak 正进行 50 多年来最大规模物理转型，引入新列车并重建老旧基础设施。为匹配这一规模，它基于 Databricks 搭建统一数据平台 Rail Intelligence，将车队遥测、订票系统、轨道检测等数据汇入单一受管环境，用 Delta Lake 存储、Unity Catalog 治理，并通过机器学习实现预测性维护。目标是从被动反应转向实时智能。
正文摘录
Amtrak operates the largest passenger railroad network in the United States, with 21,000 track miles connecting communities across the country. The organization is now undertaking its biggest physical transformation in half a century, introducing two entirely new fleets while simultaneously rebuilding tunnels, bridges, and rail yards, some of which date back over 150 years. To match the scale of this physical transformation, Amtrak is building a digital intelligence platform that connects all of these new assets into a single governed layer. The team calls it Rail Intelligence, and it runs on Databricks. Amtrak's data landscape has not kept pace with the speed of the transformation. Fleet telemetry lives in one system. The reservation platform, a 40-year-old mainframe called Arrow, lives i…