首页> 外文期刊>Intelligent enterprise >PUT TO THE TEST: A New Generation Of Business intelligence - QlikView's innovative approach and simple concept come together to challenge standard business intelligence solutions
【24h】

PUT TO THE TEST: A New Generation Of Business intelligence - QlikView's innovative approach and simple concept come together to challenge standard business intelligence solutions

机译:投入测试:新一代商业智能-QlikView的创新方法和简单概念共同挑战标准商业智能解决方案

获取原文
获取原文并翻译 | 示例
           

摘要

QlikView 7.0 is a business intelligence (BI) product with a unique, client-centric architecture and an innovative, list-based development approach. It lets users create lists that represent dimensions and measures, making it simple in concept, easy to deploy and use yet sufficiently powerful. It isn't quite ready for Web services environments or advanced metadata repositories, but its approach and architecture challenge the established methods of developing and deploying BI solutions. QlikView is remarkably easy to install. In no time, I had imported data from a SQL Server database, an Excel file and inline data entries. A range of data sources and files can be added through script files, using a combination script file editor and wizard. Data can be formatted and transformed during import. QlikView's data transformation capabilities are basic, but as I see it, BI and extract-transform-load (ETL) are two very different competencies; BI tools would be hard-pressed to provide both these competencies. Data sources can be viewed in the form of SQL-like scripts or via a Table Viewer that offers an entity-relationship-style display of the data structures.
机译:QlikView 7.0是一种商业智能(BI)产品,具有独特的,以客户为中心的体系结构和创新的,基于列表的开发方法。它使用户可以创建代表维度和度量的列表,从而使其概念简单,易于部署和使用,但功能强大。它尚不适合Web服务环境或高级元数据存储库,但其方法和体系结构对开发和部署BI解决方案的既定方法提出了挑战。 QlikView非常易于安装。我很快就从SQL Server数据库,Excel文件和内联数据条目中导入了数据。可以使用组合脚本文件编辑器和向导通过脚本文件添加一系列数据源和文件。数据可以在导入期间进行格式化和转换。 QlikView的数据转换功能是基本的,但正如我所看到的,BI和提取转换加载(ETL)是两个非常不同的能力; BI工具将很难提供这两种能力。可以使用类似SQL的脚本的形式查看数据源,也可以通过表查看器查看数据源,该表查看器提供数据结构的实体关系样式显示。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号