Netease Thunderfire UX Big Data Technology: An Overview of Game Data Practices and Insights

NetEase Thunderfire UX's big data team and Insight Lab focus on comprehensive data products that enhance game user experience, supporting titles like "Naraka: Bladepoint," "Justice of the Moon," "Justice of the Sea," "Tianyu," and "UNO!" while building a robust server system and data support platform.

The public account shares industry trends and cutting‑edge data knowledge for students and data practitioners, with a nine‑member editorial team of GDC speakers covering mathematics, engineering, product practice, machine learning, AI, platforms, and visualization in game big data.

Mathematics in Game Big Data explains how statistical analysis and machine learning models rely on solid mathematical foundations to identify user behavior patterns and support complex game technologies such as graphics, physics, AI, and procedural generation.

Engineering Applications describes the end‑to‑end big‑data workflow from data collection to offline computation, highlighting the offline scheduling system and the full lifecycle of big‑data processing used in large‑scale online games.

Product Practice outlines how big data enables the extraction of valuable insights from massive structured and unstructured game data, improving decision‑making, discovery, and process optimization for successful game products.

AI Applications discusses how big‑data‑driven machine learning powers personalized recommendations, game bots, and performance optimization, turning vast player logs into actionable AI models.

Engineering and Platform details the challenges of building high‑concurrency, highly‑available data platforms, sharing best practices and technical insights for developers and data engineers.

Visualization emphasizes the importance of turning massive game logs into clear visual narratives using violin plots, relationship graphs, heatmaps, and other techniques to support product decisions.

Data Analysis highlights the need for deep game knowledge combined with analytical rigor to extract meaningful metrics, diagnose issues, and drive improvements in player retention and monetization.

Product Tools introduces data‑centric tools that help users quickly access and analyze game data, fostering data‑driven thinking and automating repetitive tasks for both industry professionals and enthusiasts.