data and database administration

Data and Database Administration

CISB514 Advanced Database

At the end of this chapter, you should be able to: Define terms related to data & dbase

administration List functions and roles of data/database

administration Describe role of data dictionaries and

information repositories



Data AdministrationData Administration: A high-level function that is responsible for the overall management of data resources in an organization, including maintaining corporate-wide definitions and standards

Database AdministrationDatabase Administration: A technical function that is responsible for physical database design and for dealing with technical issues such as security enforcement, database performance, and backup and recovery



Data policies, procedures, standards Data Policies: statements that make explicit the goals of DA Data procedure: written outlines of actions to be taken to

perform certain activity Data Standard: explicit conventions and behaviors that are to be

followed and that can be used to help evaluate dbase quality

Planning Data conflict (ownership) resolution Managing the information repository Internal marketing of DA concepts



1. All users must have passwords2. Password must be changed every 6 months3. Password must have minimum of 7 characters4. Password must have maximum of 12

characters5. Password must be combination of alphabet

and numbers6. I/C number, names, birth date cannot be used

as passwords.



1. To create password:i. End user send request to DBAii. DBA approves and forward it to computer

operatoriii. Computer operator creates account, assign

temporary password and end it to the user. iv. A copy of the account information is sent to

the DBAv. User changes the temporary password.



Selection of DBMS and software tools Installing/upgrading DBMS Tuning database performance Improving query processing

performance Managing data security, privacy, and

integrity Data backup and recovery



DATABASE PLANNING

Develop corporate database strategy/policies

Develop enterprise model (information architecture)

Develop cost/benefit models

Design database environment/select technologies

Develop and market data administration plan

DATABASE ANALYSIS

Define and model data requirements (conceptual)

Define and model business rules

Define operational requirements

Resolve requirements conflicts

Maintain corporate data dictionary/repository



DATABASE DESIGN

Perform logical database design

Design external model (sub schemas)

Design internal (physical) models

Design integrity controls

DATABASE IMPLEMENTATION

Specify database access policies

Establish security controls

Install DBMS

Supervise database loading

Specify test procedures

Develop application programming standards

Establish procedures for backup and recovery

Conduct user training



OPERATIONS AND MAINTENANCE

Backup and recover databases

Upgrade DBMS

Monitor database performance

Tune and reorganize databases

Resolve access conflict

Tune and rewrite queries

Enforce standards and procedures

Support users

GROWTH AND CHANGE

Implement change-control procedure

Plan growth and change

Evaluate new technology



Blend data and database administration into one role

Fast-track development–monitoring development process: Database planning: improve selection of technology Database analysis: work on physical design in

parallel with development of the logical & physical models

Database design: prioritize application by volume, importance & complexity

Database implementation Database maintenance



New DBA Roles Procedural DBAs–managing quality of

triggers and stored procedures eDBA–managing Internet-enabled database

applications PDA DBA–data synchronization and personal

database management Data warehouse administration



New role, coming with the growth in data warehouses

Similar to DA/DBA roles Emphasis on integration and

coordination of metadata/data across many data sources

Specific roles: Support DSS applications Manage data warehouse growth Establish service level agreements

regarding data warehouses and data marts



DEFINITION: Free DBMS source code software that Free DBMS source code software that

provides the core functionality of an SQL-provides the core functionality of an SQL-compliant DBMScompliant DBMS

An alternative to proprietary packages such as Oracle, Microsoft SQL Server, or Microsoft Access mySQL is an example of an open-source

DBMS Advantages:

Less expensive than proprietary packages Source code available, for modification Have different version (simple to complex,

free to some cost(additional features) No additional cost for copies or licensing



Disadvantages: Absence of complete documentation

Ambiguous licensing concerns Not as feature-rich as proprietary DBMSs

Vendors may not have certification programs



Consider these factors when choosing an open source DBMS: Features Support Ease-of-use Stability Speed Training Licensing



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END OF CHAPTER



Routines Program modules that execute on demand Functions–routines that return values and

take input parameters Procedures–routines that do not return

values and can take input or output parameters

Triggers Routines that execute in response to a

database event (INSERT, UPDATE, or DELETE)



CREATE PROCEDURE sp_GetInventory@location varchar(10)ASSELECT Product, QuantityFROM InventoryWHERE Warehouse = @location

EXECUTE sp_GetInventory ‘Kajang'

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CREATE TRIGGER STANDARD_PRICE_UPDATEAFTER UPDATE OF STANDARD_PRICE ON

PRODUCT_TFOR EACH ROWINSERT INTO PRICE_UPDATES_T VALUES(PRODUCT_DESCRIPTION, DATE,

STANDARD_PRICE);

data and database administration

Documents

physical database design

account information

end user

information repositoriesdata

temporary password

security enforcement

integritydata backup

technical function