基于增强ETL过程的大数据策略研究

Research on Big Data Strategy Based on Enhanced ETL Precess

大数据不仅意味着大机遇,同样带来了大噪声。因此,任何具有价值的大数据策略都必须给出滤除噪音,同时对真正相关的数据进行有效且高效的处理和解决办法。该文分析了大数据背景下企业的数据策略和现有IT解决方案中存在的问题,提出通过优化ETL过程来增强早期数据整合的解决方案,以提高企业大数据策略的成本收益。

Big data brings us not only big opportunities,but also undesirable noises.Any big data Strategy must include ways to effectively and efficiently process the required data and filtering out the noise.In this paper,traditional data strategies and IT approaches of organizations is analyzed first.Then a new solution by optimizing ETL process is proposed for raising cost-efficiency of data management strategy.