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ELTA: New Approach in Designing Business Intelligence Solutions in Era of Big Data

机译:ELTA:在大数据时代设计商业智能解决方案的新方法

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Current work presents new approach for designing business intelligence solutions. In the era of big data, former and robust analytical concepts and utilities needs to adopt themselves to changed market circumstances. Main focus of the work is to address acceleration of building process of a "data-centric" business intelligence solution on one side, and also prepare business intelligence solutions for big data utilization. Research is addressing following goals: (a) reduce time spent during business intelligence solution designing phase; (b) achieve flexibility of business intelligence solution by removing problems with adding new data sources; (c) prepare business intelligence solution for utilization of big data concepts. Research proposes extension of existing Extract, Load and Transform (ELT) approach to the new one Extract, Load, Transform and Analyse (ELTA).
机译:目前的工作提出了设计商业智能解决方案的新方法。在大数据的时代,前者和强大的分析概念和公用事业都需要采用自己改变市场情况。该工作的主要重点是解决一方面的“以数据为中心”商业智能解决方案的建筑过程的加速,并为大数据利用提供商业智能解决方案。研究正在解决以下目标:(a)减少商业智能解决方案设计阶段期间花费的时间; (b)通过添加新数据源的问题来实现商业智能解决方案的灵活性; (c)准备商业智能解决方案,以利用大数据概念。研究提出了新的提取,负载,变换和分析(ELTA)的现有提取,负载和变换(ELT)方法的延伸。

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