Near Real-Time Data Warehousing with Multi-stage Trickle and Flip

机译：具有多级Tri流和翻转功能的近实时数据仓库

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A data warehouse typically is a collection of historical data designed for decision support, so it is updated from the sources periodically, mostly on a daily basis. Today's business however asks for fresher data. Real-time warehousing is one of the trends to accomplish this, but there are a number of challenges to move towards true real-time. This paper proposes 'Multi-stage Trickle & flip' methodology for data warehouse refreshment. It is based on the 'Trickle & flip' principle and extended in order to further insulate loading and querying activities, thus enabling both of them to be more efficient.

机译：数据仓库通常是为决策支持而设计的历史数据的集合，因此会定期（主要是每天）从源中进行更新。但是，今天的业务需要更新的数据。实时仓库是实现这一目标的趋势之一，但是要实现真正的实时还存在许多挑战。本文提出了用于数据仓库更新的“多级Tri流与翻转”方法。它基于“ Tri流与翻转”原理，并进行了扩展，以进一步隔离加载和查询活动，从而使两者都更加有效。

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来源
《Perspectives in business informatics research》|2011年|p.73-82|共10页
会议地点 Riga(LV);Riga(LV)
作者
Janis Zuters;
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作者单位

University of Latvia, 19 Raina blvd., LV-1586 Riga, Latvia;

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会议组织
原文格式 PDF
正文语种 eng
中图分类电子贸易、网上贸易;
关键词
real-time data warehousing; data refreshment; data loading;

机译：实时数据仓库；数据刷新；资料载入;

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Near Real-Time Data Warehousing with Multi-stage Trickle and Flip

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