Certified Data Management Professional (CDMP) - Associate

Focused View

YouAccel Training

17:52:08

0 View

1 - Course Resources and Downloads

1 - Course Resources and Downloads.html

2 - Introduction to CDMP and Data Management

2 - Section Introduction.mp4

02:17

3 - 02-01-lessonarticle.pdf

3 - Overview of CDMP Certification.mp4

06:51

4 - Case Study Empowering Data Management Careers.mp4

09:41

5 - 02-02-lessonarticle.pdf

5 - Introduction to Data Management.mp4

07:31

6 - Case Study Enhancing RetailHubs Data Management.mp4

10:40

7 - 02-03-lessonarticle.pdf

7 - The DAMADMBOK Framework.mp4

08:36

8 - Case Study Transforming Data Management at TechNova.mp4

08:55

9 - 02-04-lessonarticle.pdf

9 - Certification Levels and Exam Structure.mp4

06:53

10 - Case Study Achieving the CDMP.mp4

09:13

11 - 02-05-lessonarticle.pdf

11 - Study Strategies for the CDMP Exam.mp4

06:23

12 - Case Study Strategic Mastery.mp4

07:55

13 - Section Summary.mp4

02:07

3 - Data Governance

14 - Section Introduction.mp4

02:06

15 - 03-01-lessonarticle.pdf

15 - Introduction to Data Governance.mp4

07:26

16 - Case Study Empowering RetailNet.mp4

07:51

17 - 03-02-lessonarticle.pdf

17 - Governance Roles and Responsibilities.mp4

09:00

18 - Case Study Enhancing Data Governance.mp4

09:43

19 - 03-03-lessonarticle.pdf

19 - Data Stewardship and Accountability.mp4

07:27

20 - Case Study Implementing Data Governance at NexFinance.mp4

06:48

21 - 03-04-lessonarticle.pdf

21 - Policies Procedures and Standards.mp4

08:57

22 - Case Study TechCos Data Governance Overhaul.mp4

08:29

23 - 03-05-lessonarticle.pdf

23 - Governance Frameworks and Best Practices.mp4

08:00

24 - Case Study Implementing Data Governance Frameworks.mp4

07:03

25 - Section Summary.mp4

01:53

4 - Data Architecture

26 - Section Introduction.mp4

01:45

27 - 04-01-lessonarticle.pdf

27 - Introduction to Data Architecture.mp4

06:34

28 - Case Study Data Architecture Excellence.mp4

06:53

29 - 04-02-lessonarticle.pdf

29 - Data Architecture Principles.mp4

06:31

30 - Case Study Transforming Data Architecture.mp4

09:39

31 - 04-03-lessonarticle.pdf

31 - Logical vs Physical Data Models.mp4

08:02

32 - Case Study Optimizing CRM Data Management.mp4

08:01

33 - 04-04-lessonarticle.pdf

33 - Enterprise Architecture and Data Management.mp4

06:40

34 - Case Study Strategic Integration of Enterprise Architecture and Data Management.mp4

06:44

35 - 04-05-lessonarticle.pdf

35 - Designing Scalable Data Systems.mp4

07:11

36 - Case Study Balancing Vertical and Horizontal Scalability.mp4

08:35

37 - Section Summary.mp4

01:45

5 - Data Modeling and Design

38 - Section Introduction.mp4

02:05

39 - 05-01-lessonarticle.pdf

39 - Introduction to Data Modeling.mp4

08:00

40 - Case Study Optimizing Data Modeling for Business Growth.mp4

08:35

41 - 05-02-lessonarticle.pdf

41 - Conceptual Logical and Physical Data Models.mp4

06:40

42 - Case Study Optimizing Patient Management Systems.mp4

08:09

43 - 05-03-lessonarticle.pdf

43 - Normalization and Denormalization.mp4

08:08

44 - Case Study Balancing Normalization and Denormalization.mp4

08:11

45 - 05-04-lessonarticle.pdf

45 - Data Relationships and Entities.mp4

08:54

46 - Case Study Building a Scalable Data Model.mp4

10:15

47 - 05-05-lessonarticle.pdf

47 - Best Practices in Data Design.mp4

08:17

48 - Case Study Transforming Data Management.mp4

08:46

49 - Section Summary.mp4

01:55

6 - Data Storage and Operations

50 - Section Introduction.mp4

01:53

51 - 06-01-lessonarticle.pdf

51 - Introduction to Data Storage.mp4

06:34

52 - Case Study Optimizing Data Storage.mp4

08:28

53 - 06-02-lessonarticle.pdf

53 - Storage Models and Techniques.mp4

08:47

54 - Case Study Strategizing Scalable and Secure Data Storage.mp4

09:31

55 - 06-03-lessonarticle.pdf

55 - Data Retention Policies.mp4

06:03

56 - Case Study Developing a Robust Data Retention Policy.mp4

06:22

57 - 06-04-lessonarticle.pdf

57 - Data Backup and Recovery.mp4

06:25

58 - Case Study Strengthening Data Resilience.mp4

08:26

59 - 06-05-lessonarticle.pdf

59 - Data Archiving and Deletion.mp4

06:21

60 - Case Study Optimizing Data Management.mp4

06:54

61 - Section Summary.mp4

02:20

7 - Data Security Management

62 - Section Introduction.mp4

02:07

63 - 07-01-lessonarticle.pdf

63 - Introduction to Data Security.mp4

07:25

64 - Case Study Enhancing Data Security.mp4

07:56

65 - 07-02-lessonarticle.pdf

65 - Data Security Principles and Policies.mp4

08:06

66 - Case Study Enhancing Data Security.mp4

07:45

67 - 07-03-lessonarticle.pdf

67 - Data Access Control and Encryption.mp4

07:36

68 - Case Study Integrated Data Access Control and Encryption Strategies.mp4

09:03

69 - 07-04-lessonarticle.pdf

69 - Security Risks and Mitigation Strategies.mp4

08:23

70 - Case Study Enhancing Data Security.mp4

08:16

71 - 07-05-lessonarticle.pdf

71 - Regulatory Compliance and Data Privacy.mp4

06:56

72 - Case Study TechNova Data Breach.mp4

11:53

73 - Section Summary.mp4

02:20

8 - Data Quality Management

74 - Section Introduction.mp4

02:00

75 - 08-01-lessonarticle.pdf

75 - Introduction to Data Quality.mp4

08:32

76 - Case Study Enhancing Data Quality in Healthcare.mp4

08:30

77 - 08-02-lessonarticle.pdf

77 - Data Quality Dimensions.mp4

08:55

78 - Case Study Optimizing Data Quality Dimensions.mp4

07:39

79 - 08-03-lessonarticle.pdf

79 - Data Quality Assessment Techniques.mp4

07:43

80 - Case Study Enhancing Data Quality.mp4

08:26

81 - 08-04-lessonarticle.pdf

81 - Tools and Processes for Data Quality Improvement.mp4

06:08

82 - Case Study Enhancing Data Quality at TechNova.mp4

07:27

83 - 08-05-lessonarticle.pdf

83 - Implementing a Data Quality Program.mp4

07:14

84 - Case Study Enhancing DecisionMaking.mp4

06:25

85 - Section Summary.mp4

01:30

9 - Reference and Master Data Management

86 - Section Introduction.mp4

02:13

87 - 09-01-lessonarticle.pdf

87 - Introduction to Master and Reference Data.mp4

07:39

88 - Case Study Transforming Data Management.mp4

09:05

89 - 09-02-lessonarticle.pdf

89 - Differences Between Master and Reference Data.mp4

08:13

90 - Case Study Enhancing GlobalTechs Data Management.mp4

07:23

91 - 09-03-lessonarticle.pdf

91 - Master Data Management Frameworks.mp4

06:54

92 - Case Study Optimizing Healthcare and Retail Operations.mp4

07:36

93 - 09-04-lessonarticle.pdf

93 - Reference Data Standardization.mp4

08:50

94 - Case Study Enhancing Data Integrity and Compliance.mp4

07:26

95 - 09-05-lessonarticle.pdf

95 - Tools for Managing Master and Reference Data.mp4

06:41

96 - Case Study Implementing Master and Reference Data Management.mp4

08:16

97 - Section Summary.mp4

02:13

10 - Metadata Management

98 - Section Introduction.mp4

01:55

99 - 10-01-lessonarticle.pdf

99 - Introduction to Metadata Management.mp4

06:58

100 - Case Study Enhancing Retail Success through Robust Metadata Management.mp4

08:26

101 - 10-02-lessonarticle.pdf

101 - Types of Metadata Descriptive Structural and Administrative.mp4

07:55

102 - Case Study Transformative Metadata Management.mp4

08:32

103 - 10-03-lessonarticle.pdf

103 - Metadata Repositories and Standards.mp4

08:19

104 - Case Study Enhancing Data Management.mp4

08:03

105 - 10-04-lessonarticle.pdf

105 - Metadata Governance.mp4

07:29

106 - Case Study TechNovas Metadata Governance.mp4

10:07

107 - 10-05-lessonarticle.pdf

107 - The Role of Metadata in Data Integration.mp4

06:15

108 - Case Study Leveraging Metadata for Efficient and QualityDriven Data.mp4

07:42

109 - Section Summary.mp4

01:40

11 - Data Warehousing and Business Intelligence

110 - Section Introduction.mp4

01:26

111 - 11-01-lessonarticle.pdf

111 - Introduction to Data Warehousing.mp4

09:10

112 - Case Study Strategic Data Warehousing.mp4

09:46

113 - 11-02-lessonarticle.pdf

113 - Data Marts and Data Lakes.mp4

06:54

114 - Case Study Balancing Data Marts and Data Lakes for Scalable Analytics.mp4

07:42

115 - 11-03-lessonarticle.pdf

115 - Business Intelligence Principles.mp4

07:52

116 - Case Study Unlocking the Full Potential of Business Intelligence at TechNova.mp4

07:49

117 - 11-04-lessonarticle.pdf

117 - Data Warehousing Models Star and Snowflake.mp4

06:09

118 - Case Study Optimizing Data Warehousing.mp4

07:14

119 - 11-05-lessonarticle.pdf

119 - Reporting and Analytics in BI.mp4

06:17

120 - Case Study Transforming Patient Care Through Business Intelligence.mp4

07:43

121 - Section Summary.mp4

01:37

12 - Data Integration and Interoperability

122 - Section Introduction.mp4

02:03

123 - 12-01-lessonarticle.pdf

123 - Introduction to Data Integration.mp4

08:06

124 - Case Study TechFusions Comprehensive Data Integration Strategy.mp4

08:06

125 - 12-02-lessonarticle.pdf

125 - Data Sources and Extraction Techniques.mp4

08:01

126 - Case Study Integrating Diverse Data Sources for Enhanced Business Insights.mp4

09:13

127 - 12-03-lessonarticle.pdf

127 - Data Transformation and Loading ETL.mp4

07:25

128 - Case Study Optimizing ETL for Data Integration.mp4

08:36

129 - 12-04-lessonarticle.pdf

129 - Data Interoperability Standards.mp4

06:18

130 - Case Study Enhancing Patient Care Through HL7 Interoperability.mp4

07:57

131 - 12-05-lessonarticle.pdf

131 - Managing Data Silos.mp4

05:48

132 - Case Study Overcoming Data Silos.mp4

08:55

133 - Section Summary.mp4

01:20

13 - Document and Content Management

134 - Section Introduction.mp4

02:04

135 - 13-01-lessonarticle.pdf

135 - Introduction to Document Management.mp4

07:32

136 - Case Study Transforming Healthcare Efficiency.mp4

10:19

137 - 13-02-lessonarticle.pdf

137 - Content Management Systems CMS.mp4

08:14

138 - Case Study Transforming ECommerce Efficiency.mp4

07:40

139 - 13-03-lessonarticle.pdf

139 - Managing Unstructured Data.mp4

08:23

140 - Case Study Optimizing Unstructured Data Management.mp4

09:45

141 - 13-04-lessonarticle.pdf

141 - Version Control and Document Security.mp4

08:20

142 - Case Study Integrating Version Control and Document Security.mp4

07:23

143 - 13-05-lessonarticle.pdf

143 - Document Classification and Retrieval.mp4

07:06

144 - Case Study Optimizing Document Management with Machine Learning.mp4

08:01

145 - Section Summary.mp4

02:05

14 - Big Data and Emerging Technologies

146 - Section Introduction.mp4

02:04

147 - 14-01-lessonarticle.pdf

147 - Introduction to Big Data.mp4

00:02

148 - Case Study Strategic Evolution at TechNova.mp4

08:24

149 - 14-02-lessonarticle.pdf

149 - The Role of Big Data in Data Management.mp4

06:20

150 - Case Study TechNovas Big Data Transformation.mp4

09:51

151 - 14-03-lessonarticle.pdf

151 - Big Data Storage and Processing.mp4

06:54

152 - Case Study Strategic Innovations in Big Data Management.mp4

07:17

153 - 14-04-lessonarticle.pdf

153 - Emerging Data Technologies AI Blockchain.mp4

07:00

154 - Case Study Integrating AI and Blockchain.mp4

07:44

155 - 14-05-lessonarticle.pdf

155 - Implications of Big Data for Data Management.mp4

07:35

156 - Case Study Transforming Data Management.mp4

08:06

157 - Section Summary.mp4

02:23

Description

Master the Core Principles of Data Management and Prepare for the CDMP Associate Certification

What You'll Learn?

Master the core principles of data governance and the roles and responsibilities involved.
Understand the DAMA-DMBOK framework and its importance in data management.
Learn the structure and certification levels of the CDMP exam.
Explore strategies for preparing and studying for the CDMP certification exam.
Grasp the foundational concepts of data architecture, including logical and physical data models.
Design scalable data systems that meet organizational needs.
Gain a deep understanding of data modeling, including normalization and denormalization techniques.
Develop expertise in data storage models, data retention, backup, and recovery strategies.
Understand the principles of data security and how to mitigate risks in data management.
Implement best practices for ensuring data quality and improving data integrity.
Explore the concepts of master and reference data management and their role in data consistency.
Learn the fundamentals of metadata management and how it enhances data accessibility and governance.
Understand the role of data warehousing and business intelligence in strategic decision-making.
Explore emerging technologies like AI and big data and their impact on data management.
Dive into cloud data management and its benefits for scalable and secure data storage.
Understand ethical data management practices and how to ensure regulatory compliance.

Who is this for?

Aspiring data management professionals seeking to earn the CDMP Associate certification.

IT and data professionals looking to enhance their knowledge of data governance, architecture, and security.

Individuals transitioning into data management roles who want a comprehensive understanding of key principles.

Business analysts and data analysts aiming to improve their data modeling and quality management skills.

Project managers and team leads overseeing data-driven projects and seeking to improve data strategies.

Recent graduates in IT, computer science, or business-related fields who want to specialize in data management.

Professionals interested in staying updated on emerging trends like AI, big data, and cloud technologies in data management.

What You Need to Know?

No Prerequisites.

More details

Description
This course offers an in-depth exploration of the core principles and frameworks surrounding data management, with a specific emphasis on preparing students for the CDMP (Certified Data Management Professional) certification. The course is designed to provide a comprehensive overview of the various aspects of data management, including governance, architecture, modeling, security, quality, and more. While the course encompasses the theory of these data management concepts, it also provides valuable insights into how they can be applied in real-world scenarios, making it an essential resource for those looking to deepen their understanding of data management or prepare for the CDMP exam.
Beginning with an introduction to the CDMP certification process, students will gain a detailed understanding of the certification levels, exam structure, and essential study strategies. This foundational knowledge not only prepares students for the certification itself but also provides a solid framework for comprehending the broader field of data management. In particular, students will appreciate the subtle focus on theoretical aspects that underpin data management, allowing them to explore the key concepts without the distraction of immediate hands-on applications.
The course delves into data governance, one of the most crucial pillars of effective data management. Students will examine the roles and responsibilities that come with governance, as well as the policies, procedures, and frameworks that support a strong data governance strategy. Understanding governance frameworks is essential for ensuring that data remains secure, accurate, and compliant with industry standards. Students will learn how governance ties into the overall architecture of data systems and how it forms the backbone of a sustainable data management strategy.
Next, the course takes a closer look at data architecture, providing insights into how data is structured, modeled, and managed across an organization. Key concepts such as logical versus physical data models and the principles of designing scalable data systems are explored in detail. Students will also study enterprise architecture and its integration with data management practices, which is crucial for organizations aiming to align their data systems with strategic business goals. This section encourages students to think critically about the theoretical models that shape modern data architecture and how these models can be adapted to meet an organizationâ€™s unique needs.
Data modeling and design are fundamental to ensuring that data is both useful and efficient in meeting organizational objectives. The course covers essential topics such as normalization, denormalization, and data relationships, providing students with the knowledge needed to design and optimize data models for various industries. In doing so, students will gain an understanding of best practices in data design, with an emphasis on conceptual, logical, and physical data models, further cementing their grasp of data management theory.
Students will also explore the intricacies of data storage and operations, including storage models, techniques, and policies for data retention, backup, and recovery. The importance of data security management is also highlighted, focusing on principles, policies, and strategies for mitigating risks and ensuring regulatory compliance. In todayâ€™s digital age, where data breaches and cybersecurity threats are constant concerns, understanding these security principles is vital for anyone working in data management.
Furthermore, the course covers essential topics such as data quality management, metadata management, and reference and master data management. Each of these areas contributes to the overall goal of maintaining high standards of data integrity, accessibility, and usability. By the end of these sections, students will be equipped with the knowledge to assess and improve data quality, manage metadata repositories, and ensure that master and reference data are handled efficiently.
As the course progresses, students will learn about data warehousing and business intelligence, which are critical for leveraging data in decision-making processes. The course also addresses emerging trends in data management, including the role of big data, artificial intelligence, and cloud technologies, which are reshaping the future of data systems.
In summary, this course offers a thorough examination of data management principles with a focus on preparing students for CDMP certification. Through its structured approach to theoretical concepts, students will build a robust foundation in data management, which can be applied to a wide range of professional settings. Whether you are new to the field or looking to formalize your expertise, this course provides the essential knowledge and tools needed to excel in the dynamic and evolving world of data management.
Who this course is for:
Aspiring data management professionals seeking to earn the CDMP Associate certification.
IT and data professionals looking to enhance their knowledge of data governance, architecture, and security.
Individuals transitioning into data management roles who want a comprehensive understanding of key principles.
Business analysts and data analysts aiming to improve their data modeling and quality management skills.
Project managers and team leads overseeing data-driven projects and seeking to improve data strategies.
Recent graduates in IT, computer science, or business-related fields who want to specialize in data management.
Professionals interested in staying updated on emerging trends like AI, big data, and cloud technologies in data management.

User Reviews

Rating

average 0

Total votes0

Focused display

Data Science

YouAccel Training

Instructor's Courses

YouAccel was founded in 2015 with the mission to be one of the most interactive e-learning platforms on the web. YouAccel is now a leading provider in online training, serving a global audience of over 2 million passionate learners. This includes 6+ Million enrollments, across 50 best-selling courses. YouAccel offers courses across numerous industries from Programming & IT to Business, Marketing, Design, and Productivity.The e-learning experience provided by YouAccel is Dynamic. Each course is streamed in High Definition with corresponding assignments, quizzes, and exams that are delivered and graded electronically. All YouAccel courses are taught by certified educators that have numerous years of work experience in the field for which they provide instruction. The courses can be taken at one's own pace and are offered at several levels including beginner, intermediate and advanced. Taking the experience to a new personalized level, free support is available to all students who register for a course. All courses come with a certificate of completion and no age restrictions apply.YouAccel strongly believes that the future of online learning will be through open community-based initiatives, where everyone’s voice is equally heard. This is exactly what YouAccel strives to achieve – an inclusive environment, where students have control over the direction of course content. YouAccel courses are continuously updated based on feedback from students and engaged community members. YouAccel instructors encourage communication at every step of the learning process. To date, hundreds of contributors around the globe have invested both time and resources, to ensure YouAccel courses meet the highest level of quality. YouAccel instructors are world renowned and many of them have been featured in mainstream publications such as Forbes, Mashable, Entrepreneur, and PBS among others.

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.