Highlights of Tongcheng Travel’s 8th Big Data Technology Salon

The 8th Tongcheng Travel Big Data Technology Salon was held on November 23 in Suzhou, attracting nearly a hundred participants and speakers from Alibaba, Tencent, and other leading companies to discuss topics such as data‑lake storage, Spark computing, algorithm applications, risk control, and data warehousing.

Part 1: Tencent Cloud senior big‑data engineer Luan Xuedong presented "Tencent Cloud Meson Spark Computing Engine Practice," introducing the high‑performance Meson Spark engine, its technical innovations, performance metrics, and applicable scenarios, emphasizing vectorized execution and deep integration with cloud storage.

Part 2: Tongcheng Travel technical expert Xu Kaisheng shared "Near‑line Computing Exploration and Application in Travel Inter‑line Business," describing the business background, solution ideas, system architecture (offline, near‑line, online), and case studies that improve real‑time multi‑modal itinerary planning.

Part 3: Senior developer Pan Dong discussed "Real‑time Risk Control Engine with Flink," outlining the risk system, business challenges, technical implementation using Flink and Lambda architecture, and how fine‑grained data storage and optimized queries achieve low latency and high scalability.

Part 4: Alibaba Cloud senior engineer Ye Junhao presented "Paimon 1.0 Lake‑Warehouse New Features and Outlook," covering Paimon’s data‑lake fundamentals, recent enhancements, performance improvements, and its role in providing low‑cost, near‑real‑time data processing across multiple compute engines.

Part 5: Tongcheng Travel specialist Zhang Bing delivered "Application Data Solutions from a Hospitality Business Perspective," focusing on low‑code configurations, BI platform enhancements, data lineage, and how these tools empower rapid, data‑driven decision making in the hotel‑travel domain.

The event concluded with an invitation to continue exploring big‑data applications in AI, cost reduction, and business innovation, and provided a link to the speakers’ presentation materials on GitHub.