本文目录导读：
随着信息技术的飞速发展，数据仓库在各个行业中的应用越来越广泛，数据仓库作为一种有效的数据管理工具，能够帮助企业实现数据的整合、分析和挖掘，而星型模型作为数据仓库设计中常用的一种模型，以其简单、易用、高效的特点，备受青睐，本文将以一个实例图解，详细阐述数据仓库星型模型的构建过程，帮助读者更好地理解其原理和应用。
数据仓库星型模型概述
数据仓库星型模型是由事实表和维度表组成的一种数据组织形式，事实表存储了业务数据，维度表则包含了与业务相关的各种属性，事实表与维度表通过键值对关系相互连接，形成一个星型结构。
实例图解
以下是一个简单的数据仓库星型模型实例，假设我们构建的是一个电商数据仓库。
1、事实表
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（1）订单表（sales）
- 销售日期（sale_date）：日期类型，记录订单的销售日期。
- 销售金额（sale_amount）：数值类型，记录订单的销售金额。
- 商品ID（product_id）：数值类型，记录订单中的商品ID。
- 客户ID（customer_id）：数值类型，记录订单的客户ID。
2、维度表
（1）商品表（product）
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- 商品ID（product_id）：数值类型，商品的唯一标识。
- 商品名称（product_name）：文本类型，商品的名称。
- 商品类别（product_category）：文本类型，商品的类别。
（2）客户表（customer）
- 客户ID（customer_id）：数值类型，客户的唯一标识。
- 客户名称（customer_name）：文本类型，客户的名称。
- 客户等级（customer_level）：文本类型，客户的等级。
图片来源于网络，如有侵权联系删除
3、关系
- 订单表（sales）与商品表（product）通过商品ID（product_id）进行连接。
- 订单表（sales）与客户表（customer）通过客户ID（customer_id）进行连接。
星型模型实例图解
以下是一个简单的星型模型实例图：
订单表（sales）----------------------商品表（product）----------------------销售日期（sale_date）
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| | 标签： #数据仓库星型模型实例图
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