Mapping of the Data Management
Data Management is made up fo a complex landscape of interrelated disciplines. In this blog I’m showing the hierarchy of some of those disciplines:
• Data Collection
Internal
Eternal
IoT
Automated & Machine Generated Data Management
Data Cleanup & Quality
Cross Sources
Throughout Time
Algorithmic
Rule Based
ML
Human Intelligence
Data Curation
Data Integration & Augmentation
Data Cataloging & Categories
Business Term Glossary
Data Profiling
Physical Data Modeling
Data Context / Metadata Management
Conceptual & Logical Data Modeling
Linage
Data Linage
Business Linage
Rules
Business Rules
Data Rules
Data Discovery
BI Reporting
Batch
On Demand
Dashboards
Investigating Reporting
Self Service Discovery
Data Scientist
Advanced Analytics
Predictive
Ruled Based
ML
Prescriptive
AI
Deep Learning
Knowledge Sharing
Business Term Glossary & Data Catalog
Reporting & Usage Catalog
Semantic Data Universes
Centralized Data Hub
Data Lake
EDW
Retiring & Archiving Data
Ruled Based
Time Based
