Assess the impact of aBig Dataa on data management functions.
what is meant by aBig Dataa
the key distinguishing characteristics of aBig Dataa and how these impact on data management functions management functions defined by the DMBOK Functional Framework.
DAMA-DMBOK Functional framework task outline
1. Data Governance
1.1. Data Management Planning
1.1.1. Identify Strategic Enterprise Data Needs (P)
1.1.2. Develop & Maintain the Data Strategy (P)
1.1.3. Establish the Data Management Professional Organizations (P)
1.1.4. Identify & Appoint Data Stewards (P)
1.1.5. Establish Data Governance & Stewardship Organizations (P)
1.1.6. Develop, Review & Approve Data Policies, Standards and Procedures (P)
1.1.7. Review & Approve Data Architecture (P)
1.1.8. Plan and Sponsor Data Management Projects & Services (P)
1.1.9. Estimate Data Asset Value & Associated Data Management Costs (P)
1.2. Data Management Supervision & Control
1.2.1. Supervise the Data Management Professional Staff & Organizations (C)
1.2.2. Coordinate Data Governance Activities (C)
1.2.3. Manage & Resolve Data Related Issues (C)
1.2.4. Monitor & Ensure Regulatory Compliance (C)
1.2.5. Monitor Conformance with Data Policies, Standards and Architecture (C)
1.2.6. Oversee Data Management Projects & Services (C)
1.2.7. Communicate & Promote the Value of Data Assets (C)
2. Data Architecture Management
2.1. Develop & Maintain the Enterprise Data Model (P)
2.2. Analyze & Align With Other Business Models (P)
2.3. Define & Maintain the Data Technology Architecture (P) (same as 4.2.2)
2.4. Define & Maintain the Data Integration Architecture (P) (same as 6.2)
2.5. Define & Maintain the DW / BI Architecture (P) (same as 7.1.2)
2.6. Define & Maintain Enterprise Taxonomies (P) (same as 8.2)
2.7. Define & Maintain the Meta Data Architecture (P) (same as 9.2)
3. Data Development
3.1. Data Modeling, Analysis & Design
3.1.1. Analyze Information Requirements (D)
3.1.2. Develop & Maintain Conceptual Data Models (D)
3.1.3. Develop & Maintain Logical Data Models (D)
3.1.4. Develop & Maintain Physical Data Models (D)
3.2. Detailed Data Design
3.2.1. Design Physical Databases (D)
3.2.2. Design Related Data Structures (D)
3.2.3. Design Information Products (D)
3.2.4. Design Data Access Services (D)
3.3. Data Model & Design Quality Management
3.3.1. Develop Data Modeling & Database Design Standards (P)
3.3.2. Review Data Model & Database Design Quality (C)
3.3.3. Manage Data Model Versioning and Integration (C)
3.4. Data Implementation
3.4.1. Create & Maintain Development & Test Databases (D)
3.4.2. Create & Maintain Test Data (D)
3.4.3. Migrate & Convert Data
3.4.4. Build & Test Information Products ((D)
3.4.5. Build & Test Data Access Serv
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