CDMP Full Course Material 800+ Page Notes PDF

01 – Business Drivers
02 – Essential Concepts — Data, Information, Principles, Challenges
03 – Data as an Asset
04 – Data Management Strategy
05 – Frameworks & The DMBOK Pyramid

06 – Business Drivers
07 – Ethical Principles for Data
08 – Principles Behind Data Privacy Laws
09 – Risks of Unethical Data Practices
10 – Establishing an Ethical Data Culture
11 – Data Ethics & Governance

12 – Introduction, Drivers & Goals
13 – Principles of Data Governance
14 – Readiness Assessment
15 – Policies, Standards & Stewardship
16 – Embedding Governance in the Organization
17 – Change & Issue Management
18 – Tools, Techniques & Metrics
19 – Governance of the DG Function

20 – Drivers
21 – Goals, Outcomes & Practices
22 – Activities & Deliverables
23 – Integration with Enterprise Architecture (EA)
24 – Tools & Techniques
25 – Implementation Guidelines
26 – Governance & Metrics

27 – Goals
28 – Core Concepts
29 – Data Modeling Activities (Plan, Build, Review, Maintain)
30 – Tools (Modeling, Metadata, Lineage)
31 – Best Practices & Guidelines
32 – Governance & Version Control
33 – Metrics & Relation to Data Governance

34 – Introduction, Drivers & Goals
35 – Concepts of Data Storage
36 – Database Technology & Administration
37 – Operations & Monitoring
38 – Tools & Techniques
39 – Implementation Guidelines
40 – Governance & Metrics

41 – Drivers
42 – Goals & Concepts
43 – Security Requirements & Policies
44 – Access Controls & Encryption
45 – Auditing & Monitoring
46 – Implementation Guidelines
47 – Governance & Metrics

48 – Drivers
49 – Goals & Concepts
50 – Planning & Analysis
51 – Design & Development
52 – Implementation & Monitoring
53 – Tools & Techniques (ETL, Virtualization, ESB)
54 – Governance & Metrics

55 – Drivers
56 – Goals & Concepts
57 – Lifecycle Planning
58 – Lifecycle Management
59 – Publishing & Delivery
60 – Tools & Techniques (ECM, Collaboration, e-Discovery)
61 – Governance & Metrics

62 – Drivers
63 – Goals & Concepts
64 – Master Data Management (MDM)
65 – Golden Records & Hierarchies
66 – Tools & Techniques
67 – Implementation Guidelines
68 – Governance & Metrics

69 – Drivers
70 – Goals & Concepts
71 – BI Needs Assessment
72 – DW Architecture Design
73 – Development & Population
74 – Maintenance & Operations
75 – Tools & Techniques
76 – Governance & Metrics

77 – Drivers
78 – Goals & Concepts
79 – Metadata Strategy & Requirements
80 – Metadata Architecture
81 – Create & Maintain Metadata
82 – Metadata Delivery & Consumption
83 – Tools & Techniques
84 – Governance & Metrics

85 – Drivers
86 – Goals & Concepts
87 – Defining High-Quality Data
88 – Data Assessment
89 – Data Improvement Processes
90 – Data Quality Operations
91 – Tools & Techniques
92 – Governance & Metrics

93 – Drivers
94 – Goals & Principles
95 – Big Data Strategy
96 – Data Ingestion & Processing
97 – Analytics & Hypothesis Development
98 – Deployment & Monitoring
99 – Tools & Techniques (MPP, Distributed DB, Visualization)
100 – Governance & Metrics

101 – Drivers
102 – Goals & Concepts
103 – Planning the Assessment
104 – Performing the Assessment
105 – Interpreting Results
106 – Improvement Planning
107 – Reassessment & Benchmarking
108 – Governance & Metrics

109 – Introduction
110 – Organizational & Cultural Norms
111 – Operating Models (Centralized, Federated, Hybrid)
112 – Critical Success Factors
113 – Building the DM Organization
114 – Roles & Responsibilities
115 – Interactions with CDO, DG, EA
116 – Governance & Metrics

117 – Introduction
118 – Laws of Change
119 – Managing Transition vs Change
120 – Kotter’s 8 Errors in Change
121 – Kotter’s 8-Stage Change Process
122 – Sustaining Change & Adoption
123 – Communicating DM Value
124 – Governance & Metrics

125 – Consolidated Review, Key Concepts & Exam Tips