当前位置:首页 > 报告详情

Jet Streaming数据和预测分析:Lakehouse和Apache Spark™如何让柯林斯航空公司保持飞机飞行.pdf

上传人: 2*** 编号:139068 2023-06-04 30页 2.83MB

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
Collins Aerospace, a leading company in digital transformation within the aerospace industry, utilizes Databricks and Apache Spark to analyze vast amounts of aircraft data, enabling predictive analytics that significantly reduce costs and improve operations. Initially, Collins faced challenges due to limited compute power and inefficient data processing, but in 2019, they achieved a significant breakthrough by adopting Databricks, which facilitated rapid prototyping of analytics. Key highlights include: - Collins now manages over 768 aircraft and processes 300 TB of data per month, a vast improvement from the initial 2 aircraft and 7 GB of data. - They have developed 55 analytics models, which have led to a 30% decrease in potential flight delays and a 20% reduction in unplanned maintenance. - Collins has implemented more efficient Spark processing techniques, optimized delta tables, and leveraged Azure Data Factory for dynamic metadata-driven orchestration. - They are heading towards multi-cloud interoperability, automating model development and deployment, and utilizing MLOps principles to enhance their processes. - Collins also focuses on transforming data into value through partnerships and connectivity with third-party tools such as Tableau, PowerBI, Matlab, and Plotly Dash. In summary, Collins Aerospace's adoption of advanced analytics and data processing solutions has revolutionized their operations, significantly improving efficiency and reducing costs in the aerospace industry.
如何利用湖屋和Apache Spark™预测飞机飞行延误? 极端天气和航空系统问题导致航班延误,我们该如何应对? Collins Aerospace如何通过数字化转型引领航空领域的变革?
客服
商务合作
小程序
服务号
折叠