CDMP Certified Data Management Professional In 30 Days DevCourseWeb
Seeders : 23 Leechers : 4
| Torrent Hash : | E4E484E9B705B119285786ED0D31144EF54AF9C3 |
| Torrent Added : | at Jan. 13, 2025, 3:59 p.m. in Other |
| Torrent Size : | 2.6 GB |
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CDMP Certified Data Management Professional In 30 Days DevCourseWeb
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CDMP Certified Data Management Professional In 30 Days DevCourseWeb
Get Bonus Downloads Here.url -
1 - Introduction.mp4 -
74 - Data Integration and Interoperability intro.mp4 -
75 - Data Integration principles.mp4 -
76 - Extract Transform and Load ETL.mp4 -
77 - Extract Load Transform ELT.mp4 -
78 - What is the difference between ETL and ELT.mp4 -
79 - Data Integration processing types.mp4 -
80 - Data Replication.mp4 -
81 - Data Archiving.mp4 -
82 - Data Integration activities intro.mp4 -
83 - Plan and Analyze Activities.mp4 -
84 - Design Data Integration Solutions Activities.mp4 -
85 - Develop Data Integration Solutions Activities.mp4 -
86 - Implement and Monitor Activities.mp4 -
87 - Data integration tools.mp4 -
88 - Homework for Day 14 and 15.mp4 -
89 - Document and Content Management intro.mp4 -
90 - The Goals of Document and Content Management.mp4 -
91 - Core Components and Document Management.mp4 -
92 - Key Processes for Document Management.mp4 -
93 - Activities of Document and Content Management.mp4 -
94 - Plan for Document Lifecycle Management.mp4 -
95 - Manage the Content Lifecycle.mp4 -
96 - Publish and Deliver Content.mp4 -
97 - Tools for Document and Content Management.mp4 -
98 - Homework for Day 16 and 17.mp4 -
100 - Example of Master Data.mp4 -
100 - Master-Data.xlsx -
101 - What is Reference Data.mp4 -
102 - Example of Reference Data.mp4 -
102 - Master-Data-and-Reference-Data-2.xlsx -
103 - Difference between Reference and Master Data.mp4 -
104 - Master Data Management.mp4 -
105 - Key Principles.mp4 -
106 - Processing Steps for MDM.mp4 -
107 - Types of Master Data.mp4 -
108 - Customer Master Data.mp4 -
109 - Product Master Data.mp4 -
110 - Financial Master Data.mp4 -
111 - Employee Master Data.mp4 -
112 - Other Types of Master Data.mp4 -
113 - MDM Activities.mp4 -
114 - Master Data Management software tools.mp4 -
115 - Homework for Day 18 and 19.mp4 -
99 - What is Master Data.mp4 -
116 - What is Data Warehousing.mp4 -
117 - What is Business Intelligence.mp4 -
118 - Data Warehousing principles.mp4 -
119 - Data Warehouse components.mp4 -
120 - Data Warehousing and BI activities.mp4 -
121 - Tools for Data Warehousing and BI.mp4 -
122 - Techniques for Data Warehousing and BI.mp4 -
123 - Homework for Day 20 and 21.mp4 -
124 - Metadata Management intro.mp4 -
125 - Metadata vs Data.mp4 -
126 - Metadata Management principles.mp4 -
127 - Types of Metadata.mp4 -
128 - Descriptive Metadata.mp4 -
129 - Structural Metadata.mp4 -
130 - Administrative Metadata.mp4 -
131 - Business Metadata.mp4 -
132 - Technical Metadata.mp4 -
133 - Operational Metadata.mp4 -
134 - Sources of Metadata intro.mp4 -
135 - Source 1.mp4 -
136 - Source 2.mp4 -
137 - Source 3.mp4 -
138 - Source 4.mp4 -
139 - Source 5.mp4 -
140 - Source 6.mp4 -
141 - Source 7.mp4 -
142 - Source 8.mp4 -
143 - Metadata Management activities.mp4 -
144 - Homework for Day 22 and 23.mp4 -
145 - What is Data Quality.mp4 -
146 - What is a Data Quality Management program.mp4 -
147 - What is Critical Data.mp4 -
148 - How to judge Data Quality.mp4 -
149 - Data-Quality-Example-2.xlsx -
149 - How to check data accuracy.mp4 -
150 - How to check data validity.mp4 -
151 - How to check data timeliness.mp4 -
152 - How to check data completeness.mp4 -
153 - How to check data uniqueness.mp4 -
154 - Data-Quality-Final-2.xlsx -
154 - How to check data consistency.mp4 -
155 - Data Quality ISO Standard.mp4 -
156 - Data Quality activities.mp4 -
157 - Data Quality tools.mp4 -
158 - Homework for Day 24 and 25.mp4 -
159 - What is Big Data.mp4 -
160 - What is Data Science.mp4 -
161 - Why use Big Data and Data Science.mp4 -
162 - Sources of Big Data.mp4 -
163 - What is Machine Learning.mp4 -
164 - Sentimental Analysis.mp4 -
165 - Data and Text Mining.mp4 -
166 - Predictive Analytics.mp4 -
167 - Prescriptive Analytics.mp4 -
168 - Unstructured Data Analytics.mp4 -
169 - Operational Analytics.mp4 -
170 - Big Data activities.mp4 -
171 - Homework for Day 26.mp4 -
172 - Revisit Relevant Chapters and prepare exam materials.mp4 -
1 - Practice Exam 1.html -
173 - Practice Exam intro.mp4 -
174 - Practice Exam 2 intro.mp4 -
2 - CDMP-Exam-Prep.pdf -
2 - What is the CDMP.mp4 -
3 - Why the CDMP is a great certification to have.mp4 -
4 - Study smart topics weight.mp4 -
5 - Time commitment needed to pass.mp4 -
6 - Tips for effective learning to pass the exam.mp4 -
175 - Key tips to increase chances to pass the exam.mp4 -
176 - Exam Day tips.mp4 -
177 - Bonus Lecture.html -
10 - Data Management Frameworks.mp4 -
11 - Homework for Day 2.mp4 -
7 - What is Data Management.mp4 -
8 - Data Management Essential Concepts.mp4 -
9 - Data Management Principles.mp4 -
12 - What is Data Ethics.mp4 -
13 - Data Ethics Essential Concepts.mp4 -
14 - Ethical Principles for Data.mp4 -
15 - Data Privacy Law.mp4 -
16 - Data Ethics for Online Data.mp4 -
17 - Data Ethics Risks.mp4 -
18 - Data Ethics culture.mp4 -
19 - Homework for Day 3.mp4 -
20 - What is Data Governance.mp4 -
21 - Why Data Governance is important.mp4 -
22 - Data Governance Goals.mp4 -
23 - Data Governance Principles.mp4 -
24 - Data Governance Essential Concepts.mp4 -
25 - Datacentric Organization.mp4 -
26 - Data Governance organization.mp4 -
27 - Data Governance Operating Model Types.mp4 -
28 - Data Stewardship.mp4 -
29 - Data Policies.mp4 -
30 - Data Asset Valuation.mp4 -
31 - Data Governance Activities.mp4 -
32 - Data Governance Tools and Techniques.mp4 -
33 - Data Governance Metrics.mp4 -
34 - Homework for Day 4 and 5.mp4 -
35 - Data Architecture intro.mp4 -
36 - Data Architecture Diagram example.mp4 -
37 - Data Architecture Goals.mp4 -
38 - Key Principles of Modern Data Architecture.mp4 -
39 - Data Architecture Activities.mp4 -
40 - Data Architecture Tools.mp4 -
41 - Key Roles in Data Architecture.mp4 -
42 - Homework for Day 6 and 7.mp4 -
43 - Data Modeling and Design intro.mp4 -
44 - Why is Data Modeling important.mp4 -
45 - What is a Data Model.mp4 -
46 - The 4 types of data that can be modeled.mp4 -
47 - Data Model Components.mp4 -
48 - Data Model Levels intro.mp4 -
49 - Conceptual Data Model.mp4 -
50 - Logical Data Model.mp4 -
51 - Physical Data Model.mp4 -
52 - Data Modeling Activities.mp4 -
53 - Tools.mp4 -
54 - Homework for Day 8 and 9.mp4 -
55 - Data Storage and Operations intro.mp4 -
56 - They key Goals of Data Storage.mp4 -
57 - Database Terminology.mp4 -
58 - Activities for managing Database Technology.mp4 -
59 - Activities for managing databases.mp4 -
60 - Tools for Data Storage.mp4 -
61 - Important Techniques related to Data Storage.mp4 -
62 - Homework for Day 10 and 11.mp4 -
63 - What is Data Security.mp4 -
64 - Goals of Data Security.mp4 -
65 - What is a Vulnerability Threat Risk.mp4 -
66 - Data Types Risk Classification.mp4 -
67 - Data Security Processes.mp4 -
68 - What is Data Obfuscationmasking and data encryption.mp4 -
69 - Network Security Terms.mp4 -
70 - Types of Data Security.mp4 -
71 - Data Security activities.mp4 -
72 - Data Security tools.mp4 -
73 - Homework for Day 12 and 13.mp4 -
Bonus Resources.txt -
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Get Bonus Downloads Here.url -
182 bytes
1 - Introduction.mp4 -
6.0 MB
74 - Data Integration and Interoperability intro.mp4 -
5.9 MB
75 - Data Integration principles.mp4 -
5.0 MB
76 - Extract Transform and Load ETL.mp4 -
4.5 MB
77 - Extract Load Transform ELT.mp4 -
4.3 MB
78 - What is the difference between ETL and ELT.mp4 -
50.3 MB
79 - Data Integration processing types.mp4 -
8.6 MB
80 - Data Replication.mp4 -
4.9 MB
81 - Data Archiving.mp4 -
8.2 MB
82 - Data Integration activities intro.mp4 -
5.2 MB
83 - Plan and Analyze Activities.mp4 -
22.3 MB
84 - Design Data Integration Solutions Activities.mp4 -
18.8 MB
85 - Develop Data Integration Solutions Activities.mp4 -
21.0 MB
86 - Implement and Monitor Activities.mp4 -
14.2 MB
87 - Data integration tools.mp4 -
20.2 MB
88 - Homework for Day 14 and 15.mp4 -
2.9 MB
89 - Document and Content Management intro.mp4 -
4.3 MB
90 - The Goals of Document and Content Management.mp4 -
4.2 MB
91 - Core Components and Document Management.mp4 -
11.4 MB
92 - Key Processes for Document Management.mp4 -
11.1 MB
93 - Activities of Document and Content Management.mp4 -
2.7 MB
94 - Plan for Document Lifecycle Management.mp4 -
31.1 MB
95 - Manage the Content Lifecycle.mp4 -
26.9 MB
96 - Publish and Deliver Content.mp4 -
9.2 MB
97 - Tools for Document and Content Management.mp4 -
12.9 MB
98 - Homework for Day 16 and 17.mp4 -
2.9 MB
100 - Example of Master Data.mp4 -
74.1 MB
100 - Master-Data.xlsx -
6.2 KB
101 - What is Reference Data.mp4 -
4.0 MB
102 - Example of Reference Data.mp4 -
25.7 MB
102 - Master-Data-and-Reference-Data-2.xlsx -
6.4 KB
103 - Difference between Reference and Master Data.mp4 -
27.5 MB
104 - Master Data Management.mp4 -
8.7 MB
105 - Key Principles.mp4 -
7.4 MB
106 - Processing Steps for MDM.mp4 -
9.0 MB
107 - Types of Master Data.mp4 -
2.9 MB
108 - Customer Master Data.mp4 -
27.3 MB
109 - Product Master Data.mp4 -
25.2 MB
110 - Financial Master Data.mp4 -
7.9 MB
111 - Employee Master Data.mp4 -
18.8 MB
112 - Other Types of Master Data.mp4 -
13.3 MB
113 - MDM Activities.mp4 -
15.0 MB
114 - Master Data Management software tools.mp4 -
14.9 MB
115 - Homework for Day 18 and 19.mp4 -
2.8 MB
99 - What is Master Data.mp4 -
6.9 MB
116 - What is Data Warehousing.mp4 -
8.7 MB
117 - What is Business Intelligence.mp4 -
4.5 MB
118 - Data Warehousing principles.mp4 -
11.1 MB
119 - Data Warehouse components.mp4 -
23.3 MB
120 - Data Warehousing and BI activities.mp4 -
16.2 MB
121 - Tools for Data Warehousing and BI.mp4 -
11.7 MB
122 - Techniques for Data Warehousing and BI.mp4 -
18.7 MB
123 - Homework for Day 20 and 21.mp4 -
1.8 MB
124 - Metadata Management intro.mp4 -
20.3 MB
125 - Metadata vs Data.mp4 -
8.5 MB
126 - Metadata Management principles.mp4 -
7.3 MB
127 - Types of Metadata.mp4 -
15.2 MB
128 - Descriptive Metadata.mp4 -
13.8 MB
129 - Structural Metadata.mp4 -
26.0 MB
130 - Administrative Metadata.mp4 -
22.4 MB
131 - Business Metadata.mp4 -
31.1 MB
132 - Technical Metadata.mp4 -
20.3 MB
133 - Operational Metadata.mp4 -
20.4 MB
134 - Sources of Metadata intro.mp4 -
842.5 KB
135 - Source 1.mp4 -
15.5 MB
136 - Source 2.mp4 -
8.3 MB
137 - Source 3.mp4 -
12.0 MB
138 - Source 4.mp4 -
3.3 MB
139 - Source 5.mp4 -
8.3 MB
140 - Source 6.mp4 -
9.8 MB
141 - Source 7.mp4 -
13.0 MB
142 - Source 8.mp4 -
7.2 MB
143 - Metadata Management activities.mp4 -
13.1 MB
144 - Homework for Day 22 and 23.mp4 -
2.1 MB
145 - What is Data Quality.mp4 -
8.6 MB
146 - What is a Data Quality Management program.mp4 -
13.1 MB
147 - What is Critical Data.mp4 -
20.1 MB
148 - How to judge Data Quality.mp4 -
9.4 MB
149 - Data-Quality-Example-2.xlsx -
12.7 KB
149 - How to check data accuracy.mp4 -
63.3 MB
150 - How to check data validity.mp4 -
32.3 MB
151 - How to check data timeliness.mp4 -
32.8 MB
152 - How to check data completeness.mp4 -
37.8 MB
153 - How to check data uniqueness.mp4 -
32.7 MB
154 - Data-Quality-Final-2.xlsx -
13.1 KB
154 - How to check data consistency.mp4 -
52.5 MB
155 - Data Quality ISO Standard.mp4 -
24.2 MB
156 - Data Quality activities.mp4 -
18.4 MB
157 - Data Quality tools.mp4 -
15.4 MB
158 - Homework for Day 24 and 25.mp4 -
2.7 MB
159 - What is Big Data.mp4 -
40.0 MB
160 - What is Data Science.mp4 -
14.8 MB
161 - Why use Big Data and Data Science.mp4 -
10.5 MB
162 - Sources of Big Data.mp4 -
43.1 MB
163 - What is Machine Learning.mp4 -
8.3 MB
164 - Sentimental Analysis.mp4 -
10.2 MB
165 - Data and Text Mining.mp4 -
13.4 MB
166 - Predictive Analytics.mp4 -
5.6 MB
167 - Prescriptive Analytics.mp4 -
7.2 MB
168 - Unstructured Data Analytics.mp4 -
5.3 MB
169 - Operational Analytics.mp4 -
4.7 MB
170 - Big Data activities.mp4 -
15.3 MB
171 - Homework for Day 26.mp4 -
2.2 MB
172 - Revisit Relevant Chapters and prepare exam materials.mp4 -
9.1 MB
1 - Practice Exam 1.html -
83 bytes
173 - Practice Exam intro.mp4 -
3.3 MB
174 - Practice Exam 2 intro.mp4 -
2.4 MB
2 - CDMP-Exam-Prep.pdf -
15.5 MB
2 - What is the CDMP.mp4 -
19.1 MB
3 - Why the CDMP is a great certification to have.mp4 -
21.9 MB
4 - Study smart topics weight.mp4 -
6.0 MB
5 - Time commitment needed to pass.mp4 -
10.5 MB
6 - Tips for effective learning to pass the exam.mp4 -
17.3 MB
175 - Key tips to increase chances to pass the exam.mp4 -
7.4 MB
176 - Exam Day tips.mp4 -
9.2 MB
177 - Bonus Lecture.html -
3.6 KB
10 - Data Management Frameworks.mp4 -
22.2 MB
11 - Homework for Day 2.mp4 -
4.5 MB
7 - What is Data Management.mp4 -
18.4 MB
8 - Data Management Essential Concepts.mp4 -
5.9 MB
9 - Data Management Principles.mp4 -
34.6 MB
12 - What is Data Ethics.mp4 -
2.8 MB
13 - Data Ethics Essential Concepts.mp4 -
1.5 MB
14 - Ethical Principles for Data.mp4 -
12.4 MB
15 - Data Privacy Law.mp4 -
53.8 MB
16 - Data Ethics for Online Data.mp4 -
17.7 MB
17 - Data Ethics Risks.mp4 -
20.9 MB
18 - Data Ethics culture.mp4 -
10.4 MB
19 - Homework for Day 3.mp4 -
2.2 MB
20 - What is Data Governance.mp4 -
8.7 MB
21 - Why Data Governance is important.mp4 -
27.4 MB
22 - Data Governance Goals.mp4 -
5.1 MB
23 - Data Governance Principles.mp4 -
20.0 MB
24 - Data Governance Essential Concepts.mp4 -
4.2 MB
25 - Datacentric Organization.mp4 -
11.1 MB
26 - Data Governance organization.mp4 -
7.1 MB
27 - Data Governance Operating Model Types.mp4 -
13.4 MB
28 - Data Stewardship.mp4 -
12.2 MB
29 - Data Policies.mp4 -
7.7 MB
30 - Data Asset Valuation.mp4 -
14.8 MB
31 - Data Governance Activities.mp4 -
61.1 MB
32 - Data Governance Tools and Techniques.mp4 -
79.2 MB
33 - Data Governance Metrics.mp4 -
15.6 MB
34 - Homework for Day 4 and 5.mp4 -
3.1 MB
35 - Data Architecture intro.mp4 -
7.7 MB
36 - Data Architecture Diagram example.mp4 -
52.0 MB
37 - Data Architecture Goals.mp4 -
6.8 MB
38 - Key Principles of Modern Data Architecture.mp4 -
30.1 MB
39 - Data Architecture Activities.mp4 -
24.0 MB
40 - Data Architecture Tools.mp4 -
28.2 MB
41 - Key Roles in Data Architecture.mp4 -
16.6 MB
42 - Homework for Day 6 and 7.mp4 -
3.6 MB
43 - Data Modeling and Design intro.mp4 -
3.5 MB
44 - Why is Data Modeling important.mp4 -
11.5 MB
45 - What is a Data Model.mp4 -
7.8 MB
46 - The 4 types of data that can be modeled.mp4 -
15.0 MB
47 - Data Model Components.mp4 -
9.7 MB
48 - Data Model Levels intro.mp4 -
2.8 MB
49 - Conceptual Data Model.mp4 -
8.2 MB
50 - Logical Data Model.mp4 -
7.2 MB
51 - Physical Data Model.mp4 -
8.3 MB
52 - Data Modeling Activities.mp4 -
19.5 MB
53 - Tools.mp4 -
22.9 MB
54 - Homework for Day 8 and 9.mp4 -
2.3 MB
55 - Data Storage and Operations intro.mp4 -
3.7 MB
56 - They key Goals of Data Storage.mp4 -
6.6 MB
57 - Database Terminology.mp4 -
5.6 MB
58 - Activities for managing Database Technology.mp4 -
29.1 MB
59 - Activities for managing databases.mp4 -
35.2 MB
60 - Tools for Data Storage.mp4 -
10.1 MB
61 - Important Techniques related to Data Storage.mp4 -
17.0 MB
62 - Homework for Day 10 and 11.mp4 -
2.2 MB
63 - What is Data Security.mp4 -
5.5 MB
64 - Goals of Data Security.mp4 -
6.3 MB
65 - What is a Vulnerability Threat Risk.mp4 -
12.3 MB
66 - Data Types Risk Classification.mp4 -
8.5 MB
67 - Data Security Processes.mp4 -
8.9 MB
68 - What is Data Obfuscationmasking and data encryption.mp4 -
12.0 MB
69 - Network Security Terms.mp4 -
5.8 MB
70 - Types of Data Security.mp4 -
11.2 MB
71 - Data Security activities.mp4 -
17.4 MB
72 - Data Security tools.mp4 -
18.6 MB
73 - Homework for Day 12 and 13.mp4 -
3.2 MB
Bonus Resources.txt -
386 bytes
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