Inmon数据集市vs Kimball数据集市 [英] Inmon data Marts vs Kimball data marts

问题描述

是kimball和inmon之间的唯一区别，即Enterprise层(EDW).我四处搜寻，发现inmon还使用EDW创建数据集市.这是否意味着对于给定的业务流程和源系统，这两个数据集市在结构上都相似?

Is the only difference between kimball and inmon, the Enterprise layer(EDW). I was googling around and found out that inmon also creates data marts using EDW. so does that mean, both these data marts are similar in structure for a given business process and source systems ?

一旦这两个过程的数据集市都可以使用，它们是否具有相同的性能?

Once the data marts are readily available for both the procedures, do they give same performance ?

如果我错了，请纠正我，首先创建数据仓库，然后在其上创建维度模型以用于特定的业务需求.(ER模型到维度模型)

correct me if i am wrong, the data warehouse is created first and then dimensional model is created on top of it for specific business requirements.(ER model to Dimensional model)

我找不到有关如何在inmon模型中创建数据集市的信息.我希望你们中的一些人能对此提供帮助.

I was not able find information on how data marts are created in inmon model.I hope some of you could help me in this.

推荐答案

Kimball =创建所有数据集市，然后创建一个DW =敏捷方法=如果我在开始时没有所有信息，请使用

Kimball = create all data marts and after with these we create a DW = Agile methodology = used if I don't have all informations at the beginning

Inmon =创建一个DW，然后我们可以创建数据集市= V Model =如果我开头有全局信息，则使用

Inmon = Create a DW and after we can create data marts = V Model = Used if I have global informations in the beginning

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