Abhishek Gupta, Arun Sahayadhas, V. Gupta
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引用次数: 0

摘要

决策是任何组织的关键因素,它决定了组织在竞争市场中的可持续性和持续增长,并有助于知识发现过程。这些决策是基于对历史和当前数据的分析做出的,这些数据由数据仓库(DWH)管理。基于这些DWH提供的数据集,BI工具生成晶体报告和临时报告。因此,数据仓库体系结构的速度对于在正确的时间做出决策起着重要作用。在本文中,我们提出了提高数据仓库体系结构速度效率的技术。在速度优化方面,我们不仅研究了数据仓库架构,还研究了数据仓库执行的各种操作,这进一步提高了数据仓库架构的整体速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposed Techniques to Design Speed Efficient Data Warehouse Architecture for Fastening Knowledge Discovery Process
Decision-making is the key factor of any organization which decides organization’s sustainability in competitive market and its continuous growth and helps in knowledge discovery process. These decisions are taken based on analysis of historical and current data, which are managed by data warehouses (DWH). Based on the datasets provided by these DWH, crystal and ad-hoc reports are generated by BI tools. So, Speed of data warehouse architectures plays a prominent role for deriving decisions at right time. In this paper we have proposed techniques to make data warehouse architecture speed efficient. For speed optimization we have not only worked on data warehouse architecture but also, we have worked on various operations performed by data warehouse, which further boost the overall data warehouse architecture speed.
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