电信科学 ›› 2014, Vol. 30 ›› Issue (10): 21-26.doi: 10.3969/j.issn.1000-0801.2014.10.004

• 专题：大数据技术与应用 • 上一篇    下一篇

游戏大数据平台研究与实践

苏洋1,刘晓军2,唐勇1,黄洋1   

  1. 1 炫彩互动网络科技有限公司 南京 210029
    2 中国电信股份有限公司广东研究院 广州 510630
  • 出版日期:2014-10-15 发布日期:2017-06-29

Research and Practice of Big Data Platform of Games

Yang Su1,Xiaojun Liu2,Yong Tang1,Yang Huang1   

  1. 1 Dazzle Interactive Network Technologies, Nanjing 210029, China
    2 Guangdong Research Institute of China Telecom Co., Ltd., Guangzhou 510630, China
  • Online:2014-10-15 Published:2017-06-29

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被引次数

8

摘要：

立足于游戏平台数据快速处理需求，构建基于分布式+关系数据混合多元的大数据处理架构，针对高价值密度的结构化数据采用关系数据处理；大量无序的非结构化数据采用分布式机制处理。两种类型数据实现有序化后，统一交予传统关系数据库构建关系化模型并展示，既能实现关键经营分析数据的高效处理，又能满足无序的日志数据规模化处理需求。通过剖析其总体架构、主要功能和关键技术，从而为其他业务平台大数据分析建设和改造提供借鉴和参考。

关键词: 大数据, 游戏平台, 数据挖掘

Abstract:

Based on the game platform data processing needs,the diversified mix of large data processing architecture was built based on distributed+relational data,for high-value-density structured data using relational data processing;lots of disorderly unstructured data processing was using a distributed mechanism. Two types of data to achieve the orderly were unified handed over to traditional relational database model to build relationships and showed that could be achieved through efficient handling of business analysis data, but also to meet the scale of disorderly log data processing requirements. The overall architecture, the main features and key technologies were analyzed, so as reference was provided for other business data analysis platform for large construction and renovation.

Key words: big data, game platform, data mining

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