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Cleansing Looms Important In Data Warehouse Efforts

机译:清理织机对数据仓库的工作很重要

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摘要

Organizations that rely on large amounts of data are increasingly employing data cleansing techniques to ensure accuracy and efficiency by scrubbing data that have been polluted at the source or on its way to a data warehouse. While experts agree that this is an emerging trend among data warehouse users, they say most businesses are not paying enough attention to the problems inherent in having impure data. Often, businesses operate with the assumption that their decisions are based on credible information, but many times this is not the case, experts say. It is not until businesses try to use the data that they realize the fallacies within their information warehouses.
机译:依赖大量数据的组织越来越多地采用数据清理技术,以通过清理在源头或进入数据仓库途中已被污染的数据来确保准确性和效率。尽管专家们认为这是数据仓库用户中的一种新兴趋势,但他们说,大多数企业并未充分关注拥有不纯数据的内在问题。专家说,企业通常会以其决策基于可靠信息为前提进行运作,但很多时候情况并非如此。直到企业尝试使用数据,他们才意识到信息仓库中的谬误。

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