Data Management

With the development of computers with large data storage capacities and high processing speeds, a lot of data is generated worldwide. However, this data is of little use, till it is processed and categorised properly. Business data is of critical importance and companies spend millions of dollars to acquire it and store it securely

Data management involves the following:

1. Data Governance
* Data asset
* Data governance
* Data steward
2. Data Architecture, Analysis and Design
* Data analysis
* Data architecture
* Data modeling
3. Database Management
* Data maintenance
* Database administration
* Database management system
4. Data Security Management
* Data access
* Data privacy
* Data security
5. Data Quality Management
* Data cleansing
* Data integrity
* Data quality
* Data quality assurance
6. Reference and Master Data Management
* Data integration
* Master Data Management
* Reference data
7. Data Warehousing and Business Intelligence Management
* Business intelligence
* Data mart
* Data mining
* Data movement (extraction, transformation and loading)
* Data warehousing
8. Document, Record and Content Management
* Document management system
* Records management
9. Meta Data Management
* Meta-data management
* Metadata
* Metadata discovery
* Metadata publishing
* Metadata registry

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