DATA MANAGEMENT_2

DATA MANAGEMENT_2

1. The Context of Information Technology

   • promotes efficiency and speed by enabling information sharing across the organization

2. INFORMATION SYSTEMS MANAGEMENT

   • Data, collect data from multiple sources, analyzed and presented

3. Infromation Technology

   • Inventory
   • Customer Transactions
   • Finance
   • Information Systems
   • Manufacturing
   • Supplier Transaction
   • Forecasting

4. The Value of information Technology

   • Information is an Asset

5. Traditional files vs. Database-1

   • Data redundancy
   • Data inconsistency
   • Data isolation
   • Data integrity
   • Security

6. Traditional file vs Database-2

   • Uniform security,privacy and integrity
   • Integration of data
   • Data consistency
   • Data Independence
   • Sharing of data
   • Minimal data redundancy

7. Foundation of data

   • Records
   • Fields
   • Files
   • Characters

8. Data Hierarchy

   • Field
   • Record
   • File
   • Database
   • DATA

9. Definition

   • A description
   • collection of concepts

10. Database

    • records
    • files
    • fields

11. Role& responsibilities

    • Data planners
    • Database Administration
    • Data Administration

12. Data Management principles

    • processed and presented
    • organized
    • represented and stored
    • protected and managed

13. Big Data-5

    • Velocity
    • Variety
    • Volume
    • Value
    • Variability

14. Database Management System

    • Components of DBMS
    • Benefit of DBMS
    • DBMS is software package

15. Data sources and Data Types

16. Big Data- Some real-world example

17. Levels of Abtraction

18. Data Protection

19. Data quality