银行业中的Hadoop:事件驱动的绩效评估
Monalisa Panda1, Mamata Garnayak2, Mitrabinda Ray1
1Department of Computer Science and Engineering, Siksha 'O' Anusandhan Deemed to be University, Bhubaneswar, India.
TheScientificWorldJournal
|January 29, 2025
概括
本研究介绍了一个基于事件驱动的,基于Hadoop的框架,用于实时银行业绩评估. 它通过分析交易数据和检测异常来提高决策,从而提高运营效率.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 金融技术 金融技术
背景情况:
- 传统的银行业绩评估与大量的实时数据量作斗争.
- 在数据密集型银行环境中需要提高决策和运营效率.
研究的目的:
- 提出一个以事件驱动的,基于Hadoop的架构,用于实时银行业绩评估.
- 为了能够监测关键绩效指标和检测操作异常.
主要方法:
- 开发了一个可扩展,事件驱动的框架,与Hadoop生态系统集成.
- 使用了Hive查询来分析信用卡交易和用户参与数据.
- 通过仪表板可视化指标,例如活跃用户,卡片注册和通过仪表板保留.
主要成果:
- 在实时中成功处理和分析快速移动的交易数据.
- 识别了用户活动模式和在交易分析方面需要改进的领域.
- 证明了框架对于详细的交易快照和趋势分析的能力.
结论:
- 与Hadoop集成的事件驱动分析方法为银行业绩评估提供了一种变革性的方法.
- 银行可以利用这种框架,通过可扩展的数据驱动洞察力获得竞争优势.
- 拟议的系统为利用广泛的数据分析能力提供了一种功能性方法.
关键词:
哈多普的架构是哈多普的架构.蜂巢查询查询 蜂巢查询卡片分析技术的分析.分布的Hadoop文件系统.事件分析 - 事件分析.事件日志事件日志财务报告格式 财务报告格式记录文件 记录文件 记录文件更多相关视频
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