阿里云
>
数据
>
数据维度建模
数据维度建模
【译】Apache Spark
数据建模
之时间
维度
（二）
在过去几十年中，
数据建模
技术也一直是SQL
数据
仓库的基础。Apache Spark作为新一代的数仓技术的代表，我们能够在 Spark 中使用早期的
数据建模
技术。这使得Spark data pineline 更加有效。在本系列文章中，我将讨论spark中不同的
数据建模
。...
大数据和Hadoop时代的
维度建模
和Kimball
数据
集市
数据
建模和
维度建模
标准
数据
建模的任务，是消除重复和冗余的
数据
。当
数据
发生变化时，我们只需在一个地方修改它，这有助于保证
数据
的质量，避免了不同地方的
数据
不同步。参考下面图示的模型，它包含了代表地理概念的几张表。在规范化模型...
【译】Apache Spark
数据建模
之时间
维度
（一）
日期
维度
日期
维
是一个静态
数据
集，它在列中列出给定日期的所有不同属性。这个示例
数据
集模式如下所示 t|-date_key:integer(nullable=true)|-full_date:string(nullable=true)|-day_of_week:integer(nullable=true)|-day_num_in_month:...
数据
仓库当中的
维度建模
法是什么意思？
数据
仓库当中的
维度建模
法是什么意思？
数据
仓库当中的
维度建模
法有哪些优点？
数据
仓库当中的
维度建模
法有哪些优点？
数据
仓库专题（7）-
维度建模
10大基本原则
当然，原子
数
据
也可以通过概要
维度建模
进行补充，但企业用户无法只在汇总
数据
上工作，他们需要原始
数据
回答不断变化的问题。原则2、围绕业务流程构建维度模型 业务流程是组织执行的活动，它们代表可测量的事件，如下一个订单或做一次结算...
数据
仓库专题（7）-
维度建模
10大基本原则
当然，原子
数
据
也可以通过概要
维度建模
进行补充，但企业用户无法只在汇总
数据
上工作，他们需要原始
数据
回答不断变化的问题。原则2、围绕业务流程构建维度模型 业务流程是组织执行的活动，它们代表可测量的事件，如下一个订单或做一次结算...
数据
仓库心得(4)基于
维度建模
的数仓KimBall架构
基于
维度建模
的KimBall架构，将
数据
仓库划分为4个不同的部分。分别是操作型源系统、ETL系统、
数据
展现和商业智能应用，如下图。操作型源系统，指的就是面向用户的各类系统，如app、网站、ERP、CRM等系统。这一块就是我们
数据
仓库的
数据
来源...
数据
仓库心得(3)数仓建模之星型模型与
维度建模
维度建模
是一种将
数据
结构化的逻辑设计方法，也是一种广泛应用的数仓建模方式，它将客观世界划分为度量和上下文。度量是常常是以数值形式出现，事实周围有上下文包围着，这种上下文被直观地分成独立的逻辑块，称之为维度。它与实体-关系...
数据
中台模型设计系列（一）：
维度建模
初探
维度建模
会设计部分数据的冗余，通过冗余换来数据检索的高性能。对于数据量极具膨胀的今天，高性能给用户带来了高价值。事实表 所谓的事实表，就是企业的业务过程事件的度量信息。例如对于支付这个业务过程来说，需要度量支付的商品
数
、...
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数据传输DTS
数据传输服务DTS支持关系型数据库、NoSQL、OLAP等数据源间的迁移、同步、订阅，轻松实现多数据源实时数据同步、不停机上云迁移或异地多活数据中心等，助力企业构建安全、可扩展、高可用的数据架构。
了解详情
管理控制台
在线咨询
最新活动
DTS首月39元
数据库专场优惠
快速入门
数据迁移操作指导
应用场景
最佳实践
数据传输解决方案
混合云数据库统一管理
产品推荐
云数据库PolarDB
云原生数据仓库MySQL
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数据传输DTS
数据传输服务DTS支持关系型数据库、NoSQL、OLAP等数据源间的迁移、同步、订阅，轻松实现多数据源实时数据同步、不停机上云迁移或异地多活数据中心等，助力企业构建安全、可扩展、高可用的数据架构。
了解详情
管理控制台
在线咨询
最新活动
DTS首月39元
数据库专场优惠
快速入门
数据迁移操作指导
应用场景
最佳实践
数据传输解决方案
混合云数据库统一管理
产品推荐
云数据库PolarDB
云原生数据仓库MySQL
