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SYSTEMS AND METHODS FOR INTEREST-DRIVEN BUSINESS INTELLIGENCE SYSTEMS INCLUDING GEO-SPATIAL DATA

机译:用于包括地理空间数据的兴趣驱动型商务智能系统的系统和方法

摘要

Systems and methods for interest-driven business intelligence systems including geo-spatial data in accordance with embodiments of the invention are illustrated. An interest-driven business intelligence system including raw data storage and perform extract, transform, and load processes, a data mart, and an intermediate processing layer, wherein the intermediate processing layer is configured to automatically generate metadata describing the raw data, derive reporting data requirements, and compile an interest-driven data pipeline based upon the reporting data requirements, where compiling the interest-driven data pipeline includes generating ETL processing jobs to generate geo-spatial data from the raw data, determining bounding data, bounding the filtered raw data based on the bounding data, generating geo-spatial data, and storing the geo-spatial data, generating reporting data including data satisfying the reporting data requirements based on the geo-spatial data, and storing the reporting data in the data mart for exploration by an interest-driven data visualization system.
机译:示出了根据本发明实施例的用于包括地理空间数据的兴趣驱动型商业智能系统的系统和方法。一种利益驱动型商业智能系统,包括原始数据存储并执行提取,转换和加载过程,数据集市和中间处理层,其中,中间处理层配置为自动生成描述原始数据的元数据,导出报告数据需求,并根据报告数据需求编译兴趣驱动数据管道,其中,编译兴趣驱动数据管道包括生成ETL处理作业,以从原始数据生成地理空间数据,确定边界数据,对过滤后的原始数据进行边界基于边界数据,生成地理空间数据,并存储地理空间数据,基于地理空间数据,生成包括满足报告数据要求的数据的报告数据,并将报告数据存储在数据集市中以供勘探兴趣驱动的数据可视化系统。

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