DMI data for green tea

下面为大家整理一篇优秀的essay代写范文 -- DMI data for green tea，文章讲述 提到员工使用的设备时，我首先想到的是沃尔玛的绿茶，因为绿茶对于所有年龄段的人都是一种健康的饮料，因此经常饮用以防癌，降脂和减肥损失，特别是对于那些吸烟者而言，从长远来看减少尼古丁的危害。为了最大程度地发挥绿茶的功效并增强人类对其益处的广泛认识，我想详细分析一下其DMI数据。

DMI data for green tea
Employee-used devices being referred to, what comes first to my mind is green tea in Wal-Mart as it is such a healthy beverage for people in all ranges of age that it is always drunk for anti-cancer, lipid-lowering and weight loss, especially for those smokers to reduce the harm of nicotine in the long run. In order to maximize the effectiveness of the green tea and increase human beings’ wide awareness of its benefits, I’d like to elaborately analyze the DMI data of it.
The making process of green tea can simply be divided into three steps, namely, heating, rolling and drying, which are also the specific technology asked for in the whole process of making it. Among those three procedures, the heating link in the production chain matters most in that the enzymes’ activity will be inactivated when the fresh leaves are heated, resulting in green tea’s unique quality characteristics under the thermal effect to bring out physical and chemical changes basically in the absence of enzymes.
If we want to assess the data requirements of the retailer, in our common sense, collecting the data needed then is definitely our priority, during which we have to ask the salesperson in Wal-Mart and other consumers there for “face-value” information, search for concrete information on the Internet and turn to several professionals for help to confirm the so-called “face-value” information. It is possible enough that all the above methods taken won't satisfy our needs for analysis, this time a spot observation, meaning to observe retailer employees in their work environments, being inevitably necessary. Take green tea for example, we have to directly go to the tea plantations where tea grows and tea factories where tea is processed to get the first-hand resources from tea peasants or workers involved in the whole production process of turning fresh leaves (server) at first into the green tea drink in the end (client).
The specific kind of information we need to collect is the exact time, place and weather fit for the growth of tea, how long it will take for making a green tea drink, how long it can be kept after being made, people in what range of age drinks it most, in what season the green tea sales are the highest and so on.
The specific kind of information having been well and fully collected, the centralized data warehouse architecture will be applied to build more cost-effective, high-capacity storage for the above data in a standardized format, from source systems to staging area, to normalized relational warehouse(atomic/some summarized data) and finally to end user access and applications. As for the data warehouse development approaches, the EDW approach from top to down, Inmon Model will be preferred out of its high flexibility and poly-functionality. Moreover, the brand of green tea has gained increasing worldwide popularity with a large range of data, while Kimball Model is more suitable for a smaller range of data like the data of a department. The technology highly developed, the future of data warehousing will be absolutely promising without the least doubt. Furthermore, green tea also will obtain continuous support from people ever since.
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