1. DBMS

2. Create enterprise data model Develop Database 2. 1. Strategic Planning for Information Resources Data Needs Can Be Defined by Creating an Enterprise Model Enterprise Data Model 9-2

3. Describing the Database Contents Data dictionary Enter dictionary data Data description language (DDL ) Schema Step 1 Step 2 9-3

4. Schema Data field name Aliases (other names used for same data field) Type of data (numeric alphabetic) Number of positions Number of decimal positions Various integrity rules 9-4

5. Rule for Required Field 9-5

6. Enforcing Value of BookName 9-6

7. Creating a Database 1) Describe the data 2) Enter the data 3) Use the database –Query language –Query-by-example –Data manipulation language (DML) 9-7

8. Query-by-Example 9-8

9. The Database Administrator (DBA) D B A Duties Database planning; work with users and others, define schema, etc. Database implementation; creating the database and enforcing policies and procedures Database operations Database security 9-9

10. Datadescriptionlanguageprocessor Database manager Query Querylanguage Data manipulation language (DML) Application programs Databasedescription(schema) Database Information requests requests Information Transaction log log Backup/recoverymodule Performancestatistics Performance Performance statistics statistics processor processor Performance statistics statistics A DBMS Model 9-10

11. Knowledge Discovery in Databases (KDD) Data warehousing –refinement in the database concept to make it very large very pure very retrievable Data mart –a more modest approach than data warehousing, generally only one segment of the firm 9-11

12. Knowledge Discovery in Databases (KDD) (cont.) Data mining –the process of finding relationships in data that are unknown to the user –may be for verification discovery combination of verification and discovery 9-12

13. DataBase Management System Advantages Reduce data redundancy Achieve data independence Enable integration of data from multiple files Retrieve data and information quickly Improve security 9-13

14. DBMS Disadvantages Obtain expensive software Obtain a large hardware configuration Hire and maintain a DBA staff 9-14 Requires a firm to:

15. Summary Organizations are storing vast amounts of data Organization and structures in database –Dominated by relational Staff positions –DBA Knowledge discovery in databases Database management systems 9-15