英语求翻译?百度电脑翻译的有点死,有木有高手闲着无聊就当看看文章?后面还有1DataQualityinGeneralAttheappointedtimetheyfirstmeetatthemanager’soffice.Itisuptoyourimaginationtopicturethecultiva

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英语求翻译?百度电脑翻译的有点死,有木有高手闲着无聊就当看看文章?后面还有
1 Data Quality in General
At the appointed time they first meet at the manager’s office. It is up to your imagination to picture the cultivated ambience and the old friends’ convivial greeting ritual. Both quickly get down to business.
The consultant starts with an analogy.
Before we face the topic of Data Quality (DQ), I would like to draw a comparison between data and water. In many cases it facilitated mine and my previous clients’ understanding of important relationships.
1.1 Data is the water in the world of information
In the world of information data resembles the water, which we need in our everyday lives. In both worlds we talk about sources, supply chains, filters, processing plants, about owners and users. In water-works, for instance, we meet engineers who take care of the water transport, canals, pools, water pressure, water level and flow velocity. With regard to security, the engineers mainly control for unauthorized inflows and runoffs. If one includes water quality inspectors, the picture gets even more complex. The water quality inspectors raise an alarm as soon as their measures at fixed places do not meet the agreed standards of water quality.
1.2 Data Quality (Definition)
All right, that’s an appealing analogy. Now let’s become more concrete.
What is Data Quality?
Data Quality refers to the degree of fulfillment of all those requirements defined for data, which is needed for a specific purpose. This implies that comprehensible statements about the quality of the data can be made only after appropriate requirements for the data are formulated, and their compliance is systematically documented! You will most certainly tell me in the course of our discussion how long it took you to find this handy and concise definition! Please write it down for me, so I can reconsider it once in a while. It might be true, but …

Answer 1

一般在1的数据质量,届时他们第一次见面是在经理的办公室.它是你的想像画面耕地的气氛和老朋友的问候仪式.迅速言归正传.顾问开始的一个类比.在我们面对的数据质量（DQ）的话题,我想让数据和水之间的比较.在许多情况下,它促进了我和我以前的客户的重要关系的理解.1.1数据是信息数据的世界在信息世界的水像水,我们需要在我们的日常生活.在两个世界中我们谈论的来源,供应链,过滤器,加工厂,对业主和用户.在水工程,例如,迎接我们的工程师谁照顾的水上运输,运河,游泳池,水压力,水位、流速.关于安全工程师,主要控制未经授权的流入和径流.如果一个包括水质量检验员,画面变得更复杂.水质量检验员,提高报警等措施在固定的地方不符合水质标准.1.2数据质量（清晰度）好吧,那是一个有吸引力的类比.现在让我们变得更加具体.数据质量是什么?数据质量指的是所有这些要求为数据定义的实现程度,这是为某一特定目的的需要.这意味着,对数据质量的可理解的语句后才可以对数据的适当的要求制定,并遵守系统的记录!你肯定会告诉我,在我们讨论的过程花了多少时间去寻找这个方便和简洁的定义!请给我写下来,这样我就可以重新考虑一下.这可能是真的,但…