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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cdmp-data-management-exam-prep-complete-course/
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课程名称：CDMP 数据管理考试复习完整课程 课程概述：本课程由Veronica Diesel 主讲，内容包括视频、幻灯片、总结笔记、思维导图及练习题，旨在帮助学员复习 CDMP 数据管理基础核心考试中的相关章节。值得注意的是，本课程并不替代 DMBOK v2，学员最好能够对教材有一定的了解，并在学习过程中随时查阅。每个部分简明扼要地讲解某一章节，配以复习视频、幻灯片、笔记和练习题，以直观的方式解释各知识领域。该复习课程曾作为 Modelware Systems 四天课程的复习资料，帮助学生为考试做好准备。学员可以随时重放每个视频并多次进行测试，以全面理解知识领域，为考试做好准备。课程还包括 DMBOK v1 的额外章节，以确保覆盖考试中仍然包含但在 DMBOK v2 中找不到的问题。 本完整课程将使学员高效地在自己的时间里、多次复习所有信息，从而自信地完成考试。模拟测试的设置与真实考试相似。本课程涵盖 DMBOK v2 中的以下章节，并且仅为总结，未提供 DMBOK 内容： - 第一章 数据管理 - 第二章 数据处理伦理 - 第三章 数据治理 - 第四章 数据架构 - 第五章 数据建模与设计 - 第六章 数据存储与操作 - 第七章 数据安全 - 第八章 数据集成与互操作性 - 第九章 文档与内容管理 - 第十章 参考与主数据 - 第十一章 & 第十四章 数据仓库与商业智能及大数据 - 第十二章 元数据 - 第十三章 数据质量 - 第十四章 大数据与数据科学 - 第十五章 数据管理成熟度评估 - 第十六章 数据管理组织及角色期望 - 第十七章 数据管理与组织变革管理 - 第十八章 附录：DMBOK v1 笔记参考 - 第十九章 资源链接 通过本课程，学员将能够灵活地、反复地掌握考试所需的所有信息。
This course is presented and compiled by Veronica Diesel with the use of videos, slides, summary notes, mind maps AND practice questions to go over the chapters questioned in the CDMP Data Management Fundamentals core exam (this is NOT a replacement for the DMBOK v2, it is helpful to have prior knowledge of the textbook as well as to have it on hand to go through when needed). Each section addresses and explains a chapter in short, sweet and straight to the point using refresher videos accompanied with slides, notes and practice questions to visually explain each knowledge area. The refresher course was presented to students that attended Modelware Systems' 4 day course as a refresher in their exam preparation. The notes and questions also from part of the 4 day course.Replay each video has many times as you want and take the test multiple times to understand the knowledge area and get ready to take the test. This course will enable you to quickly, and efficiently, go over all the information, as many times as you want to be extra prepared to confidently complete the exam.An additional chapter containing information in DMBOK v1 has also been included to make sure you are cover for the questions that are still included in the exam, but are not found in the DMBOKv2.This complete course will enable you to efficiently go over all the information in your own time, as many times as you want to be extra prepared to confidently complete the exam.The Mimic tests are set in a similar way to the exam.This course addresses the below chapters of the DMBOKv2. It is a summary and does not provide the DMBOK itself.Chapter 1 Data Management:Chapter 2 Data Handling EthicsChapter 3 Data GovernanceChapter 4 Data ArchitectureChapter 5 Data Modelling & DesignChapter 6 Data Storage & OperationsChapter 7 Data SecurityChapter 8 Data Integration & InteroperabilityChapter 9 Document & Content ManagementChapter 10 Reference & Master DataChapter 11 & 14 DW & BI and Big DataChapter 12 MetadataChapter 13 Data QualityChapter 14: Big Data and Data ScienceChapter 15: Data Management Maturity AssessmentChapter 16: Data Management Organisation and Role ExpectationsChapter 17: Data Management and Organisational Change ManagementChapter 18: Appendix: DMBOK Version 1 Notes for ReferenceChapter 19: Links to resources
