Data Resource Management

Section 1: “Technical Foundations of Database Management” CHAPTER 5 Lecture-7/ T. Nouf Almujally



• • • • •

Section 1:

Technical Foundations of Database Management Database Management Fundamental Data Concepts Database Structures Database Development • Data planning and Database Design (not required)

Section 1

Technical Foundations of Database Management

Database Management

• • • • Data are a vital organizational resource that need to be managed like other important business assets.

Today's business enterprise cannot succeed without quality data about their internal operations and external environment.

In all information systems, data resources must be organized and structured in some logical manner so that they can be accessed easily, processed efficiently, retrieved quickly, and managed effectively.

Database provide a logical organization method and easy access to the data stored in it.

Logical Data Elements

Data may be logically organized into:

Logical Data Elements


•A single alphabetic, numeric, or other symbol

Field (data item) Record File

(table, flat file)


•Consists of a grouping of related characters.

•Represents an


(characteristic) of some entity (object, person, place, event) •Examples… salary, job title •Grouping of all the fields used to describe the attributes of an entity •Example… payroll records with name, SSN, pay rate •Primary Key. •Group of related records •Integrated collection of logically related data elements •It consolidates records previously stored in separate files into a common pool of data elements that provides data for many applications

Fundamental Data Concepts

Fundamental Data Concepts

• • The data stored in a database are independent of the application programs using them and of the type of storage devices on which they are stored.

Databases contain data elements describing entities and relationships among entities.

Electric Utility Database

Business applications that access the data in the DB

Database Structures

• • • The relationships among the many individual data elements stored in databases are based on one of several logical data structures, or models.

Database management system (DBMS) packages are designed to use a specific data structure to provide end users with quick, easy access to information stored in databases.

• Five fundamental database structures: Hierarchical , network , relational, object-oriented and multidimensional models.

Common Database Structures: Hierarchical

Root Element

• • • Early mainframe DBMS packages used this structure.

Records arranged in a hierarchy or tree-like structure Relationships are one-to-many

Common Database Structures: Network

• • Can represent more complex logical relationships and is still used by mainframe DBMS packages.

Many-to-many relationships among records.

Common Database Structures: Relational

• Most widely used structure • Used by microcomputer DBMS packages, as well as by most midrange and mainframe systems.

• • Data elements are stored in tables (sometimes referred to as relations).

Row represents a record; column is a field.

• DBMS packages based on relational model can relate data in one table with data in another, if both tables share a common data element.

Common Database Structures: Relational

• • A lot of commercial products exist to create and manage relational models: • • Mainframe relational DB applications: Oracle10g from Oracle DB2 from IBM • Midrange DB applications: • SQL Server from Microsoft.

• The most commonly used DB application for the PC is Microsoft Access.

Common Database Structures: Multidimensional • Variation of relational model express the relationships between them.

that uses multidimensional structures to organize data and • Data elements are viewed as being in cubes. Each side of the cube is considered a dimension of the data.

• Each dimension represent a different category.

• Have become the most popular database structure for the analytical databases that support Online Analytical Processing (OLAP) applications, in which fast answers to complex business quires are expected.

Multidimensional Database Structures

Multidimensional Database Structures

Multidimensional Model

Common Database Structures: Object-Oriented

• • the object-oriented model is considered one of the key technologies of a new generation of multimedia Web-based applications.

An object consists of • • Data values describing the attributes of an entity Operations that can be performed on the data • • Encapsulation  Combine data and operations Inheritance  New objects can be created by replicating some or all of the characteristics of parent objects • • OODBMS now is popular in CAD and in multimedia Web-based applications.

Supports complex data types more efficiently than relational databases • Examples: graphic images, video clips, web pages

Common Database Structures: Object-Oriented

• • major relational DBMS vendors add object-oriented modules to their relational software.

Examples include multimedia object extensions to IBM’s DB2 and Oracle’s object based “cartridges” for Oracle.

Evaluation of Database Structures

Hierarchical - Was for DB’s used for the structured, routine types of transaction processing of many business in the early years of data processing and computing.

- Can’t handle many to-many relationship Network - More flexible than hierarchical - Unable to handle ad hoc requests Relational - Easily responds to ad hoc requests - Easier to work with & maintain -Can't process large amounts of bus. Transactions as efficient or quick as hierarchical or network - can’t process complex applications as object oriented models.

- Ex: Oracle, DB2, Access , Lotus Approach


Object-Oriented Multidimensional -Can process complex, high volume applications.

The use of this model is growing steadily.

- The use of this model is growing steadily.

- Play a great role in OLAP applications.

- Play a great role in web-based applications.

Database Development

• Database management package like Microsoft Access or Lotus Approach allow end users to develop the databases they need easily.

• Large organizations usually place control of enterprise database development in the hands of (DBA) and other database specialists .

Database Development

Database Administrator (DBA) In charge of enterprise-wide database development Improves integrity and security of organizational databases Uses Data Definition Language (DDL) in DBMS to develop and specify data content, relationships, and structure This information is then stored in a database of data definitions and specifications called a data dictionary or metadata repository which is managed by the DBA

Data Dictionary

Data Dictionary Contains information on… Directory holds information about the database and the data that it stores (data about data = metadata) Relies on specialized software component to manage a database of data definitions Names and descriptions of all types of data records and their interrelationships Requirements for end users’ access and use of applications Database maintenance Security

Data Dictionary

Database Development

• Developing a large DB of complex data types can be a complicated task.

• • • Database administrator and the database design analyst work with end users and system analysts to model the business processes and the data they require. Then they determine: What data definitions should be included in the DB.

What relationships should exist among the data elements.

Questions ..

Resources ..

Read from Chapter 5 (Section 1)