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所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-datawarehouse-concepts-step-by-step-from-scratch/
课程评论：没有评论
**课程名称：** 数据仓库概念：从基础到高级 **课程概述：** 本课程将全面讲解数据仓库相关的概念和术语，包括： * **核心概念：** OLTP、OLAP、维度（Dimensions）、事实（Facts）等。 * **数据模型：** 星型模型（Star Schema）、雪花模型（Snowflake Schema）及其差异。 * **数据管理：** 数据仓库中的数据管理方式，以及数据的读写过程。 * **数据建模：** 数据建模的基础知识，包括逻辑和物理建模的入门。 * **关键元素：** 事实（Facts）、维度（Dimensions）、聚合（Aggregations）等概念。 * **ETL技术：** 常用的 ETL（Extract, Transform, Load）技术。 **课程目标：** 完成本课程后，学员将对数据仓库的所有概念有清晰的理解，为成为 ETL 开发人员或管理数据仓库环境奠定坚实的基础。 **学习建议：** 祝您学习顺利！
In this course, you will learn all the concepts and terminologies related to the Data Warehouse , such as the OLTP, OLAP, Dimensions, Facts and much more, along with other concepts related to it such as what is meant by Start Schema, Snow flake Schema, other options available and their differences. It also explains how the data is managed with in the Data Warehouse and explains the process of reading and writing data onto the Warehouse. Later in the course you would also learn the basics of Data Modelling and how to start with it logically and physically. You would also learn all the concepts related to Facts, Dimensions, Aggregations and commonly used techniques of ETL. Upon completion of this course, you would have a clear idea about, all the concepts related to the Data Warehouse, that should be sufficient to help you start off with the next step of becoming an ETL developer or Administering the Data warehouse environment with the help of various tools. All the Best and Happy Learning!
