Master Data Modeling with Erwin Data Modeler tool!

所在平台: Udemy

课程主页: https://www.udemy.com/course/master-data-modeling-with-erwin-data-modeler-tool/

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课程简介

课程名称:使用 Erwin 数据建模工具掌握数据建模! 课程概述:在这门课程中,我们将深入学习数据建模,并探索如何有效使用 Erwin 数据建模工具。本课程非常全面,时长约 10 小时,涵盖几乎所有数据建模概念,并配有实例。我们将结合理论讲解和 Erwin 的实际操作,使学员不仅理解理论,还能进行实操练习。学习数据建模是一个广泛的旅程,需要扎实的理论知识和大量的实践练习。如果您希望购买该课程并获取精彩优惠,请通过 simplifying.it.0101@gmail.com 联系我们。我们为创建这门有趣、简化且富有知识性的课程投入了大量精力,相信您也会以积极的态度参加课程。 在本课程中,我们将涵盖以下主题: - 课程介绍(理论) - 数据建模的重要性(理论) - Erwin 的优势(理论) - 适合的学习对象(理论) - 如何有效使用本课程(理论) - Erwin 数据建模工具用户界面(实操) - 数据建模概述(理论) - ER 模型概述(理论) - 实体(理论) - 来自 Erwin 的实体(实操) - 数据类型(理论) - 属性(理论) - 来自 Erwin 的属性(实操) - 关系(理论) - 来自 Erwin 的关系(实操) - 键(理论) - 来自 Erwin 的键(实操) - 超类型与子类型(理论) - 来自 Erwin 的超类型与子类型(实操) - 创建简单数据模型 + Erwin(实践) - 符号(理论) - 命名标准(Erwin) - 定义领域(Erwin) - 数据建模模板(Erwin) - 为 IMDB 创建简单数据模型(实践) - 概念数据模型(理论) - 概念数据模型 Erwin(实操) - 逻辑数据模型(理论) - 逻辑数据模型 Erwin(实操) - 规范化(理论) - 物理数据模型(理论) - 物理数据模型 Erwin(实操) - 物理数据模型 Erwin 的正向工程(实操) - 数据库连接(理论) - 物理数据模型 Erwin 的逆向工程(实操) - 完整比较(Erwin) - 维度建模(理论) - 维度和事实表的类型(理论) - 维度建模 Erwin(实操) - 数据仓库(理论) - 数据仓库方法(理论) - Erwin 的数据仓库(实操) - 维度建模与关系建模的区别(理论) - 反规范化(理论) - 反规范化 Erwin(实操) - 数据建模方法(理论) - 为亚马逊创建维度数据模型(理论) - 亚马逊模型 - 第一部分(实践) - 亚马逊模型 - 第二部分(反规范化)(实践) - 数据模型属性(Erwin) - Erwin 转换(实操) - 主题领域(Erwin) - 图表(Erwin) - 设计层(Erwin) - 宏(Erwin) - 报告设计器(Erwin) - Erwin 中的源到目标映射(实操) - 批量编辑器 - 更新表定义(Erwin) - 批量编辑器 - 更新列定义(Erwin) - 查询工具(Erwin) - 保存数据模型(Erwin) - 数据建模的重要性(理论) 这门课程将为您提供全面的知识和实践经验,使您在数据建模领域更具竞争力。

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课程详情

In this course, we will learn Data Modeling and explore how to use erwin data modeling tool effectively. This course is very extensive around 10 hours and we will cover almost every data modeling concept with proper examples. We will also cover use of erwin data modeler along with related data modeling concepts. We have tried to keep data modeling theory lectures and erwin hands-on lectures combined so you not only understand the theory but also the practical implementation. Learning Data Modeling is an extensive journey that requires proper theoretical knowledge and also lot of hands-on practice.Please reach out to us at simplifying.it.0101@gmail.com if you would like to purchase this course for exciting offers. We have put lot of efforts to create this course interesting, simplified and knowledgeable and I am sure.you will also take this course full of dedication.In this course, we will cover below topics,· Introduction to the course (Theory)· Why Data Modeling (Theory)· Why Erwin (Theory)· Who can use this course (Target Audience) (Theory)· How to use this course effectively (Theory)· erwin Data Modeler User Interface (Erwin)· Overview of Data Modeling (Theory)· Overview of ER Model (Theory)· Entities (Theory)· Entities from erwin (Erwin)· Datatypes (Theory)· Attributes (Theory)· Attributes from erwin (Erwin)· Relationships (Theory)· Relationships from erwin (Erwin)· Keys (Theory)· Keys from erwin (Erwin)· Supertypes & Subtypes (Theory)· Supertypes & Subtypes from erwin (Erwin)· Create a simple data model + erwin (Practice)· Notations (Theory)· Naming Standards (Erwin)· Define Domains (Erwin)· Data Modeling Template (Erwin)· Create a simple data model for IMDB (Practice)· Conceptual Data Model (Theory)· Conceptual Data Model erwin (Erwin)· Logical Data Model (Theory)· Logical Data Model erwin (Erwin)· Normalization (Theory)· Physical Data Model (Theory)· Physical Data Model erwin (Erwin)· "Physical Data Model erwin:-· Forward Engg (Erwin)"· Database connection (Theory)· "Physical Data Model erwin:-· Reverse Engg (Erwin)"· Complete Compare (Erwin)· Dimensional Modeling (Theory)· Types of Dimension & Fact tables (Theory)· Dimensional Modeling Erwin (Erwin)· Data Warehousing (Theory)· Data Warehousing Approaches (Theory)· Data Warehousing from erwin (Erwin)· "Difference between Dimensional Modeling &· Relational Modeling (Theory)"· Denormalization (Theory)· Denormalization Erwin (Erwin)· Data Modeling Approach (Theory)· Create a Dimensional data model for Amazon (Theory)· Amazon Model - Part 1 (Practice)· Amazon Model - Part 2 (Denormalization) (Practice)· Data Model Properties (Erwin)· erwin Transformation (Erwin)· Subject Area (Erwin)· Diagram (Erwin)· Design Layers (Erwin)· Macros (Erwin)· Report Designer (Erwin)· Source to Target mapping in erwin (Erwin)· Bulk Eduítor - Update Table Definition (Erwin)· Bulk Eduítor - Update Column Definition (Erwin)· Query Tool (Erwin)· Saving the Data model (Erwin)· Importance of Data Modeling (Theory)

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