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COMPUTING FOR BUSINESS AND ECONOMICS-III. Lecture no.6 COURSE INSTRUCTOR- Ms. Tehseen SEMESTER- Summer 2010.

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Presentation on theme: "COMPUTING FOR BUSINESS AND ECONOMICS-III. Lecture no.6 COURSE INSTRUCTOR- Ms. Tehseen SEMESTER- Summer 2010."— Presentation transcript:

1 COMPUTING FOR BUSINESS AND ECONOMICS-III

2 Lecture no.6 COURSE INSTRUCTOR- Ms. Tehseen SEMESTER- Summer 2010

3 Chapter no. 6 Foundations of Business Intelligence: Databases and Information Management

4 Learning Objectives Describe basic file organization concepts and the problems of managing data resources in a traditional file environment. Describe the principles of a database management system and the features of a relational database. Apply important database design principles.

5 Learning Objectives Evaluate tools and technologies for providing information from databases to improve business performance and decision making. Assess the role of information policy, data administration, and data quality assurance in the management of organizational data resources.

6 Organizing Data In a Traditional File Environment An effective Information System provides users with – Accurate – Timely – Relevant Information This makes data management important.

7 File organization concepts Computer system uses hierarchies Field: Group of characters Record: Group of related fields File: Group of records of same type Database: Group of related files Record: Describes an entity Entity: Person, place, thing on which we store information Attribute: Each characteristic, or quality, describing entity E.g. Attributes Date or Grade belong to entity COURSE

8 The Data Hierarchy A computer system organizes data in a hierarchy that starts with the bit, which represents either a 0 or a 1. Bits can be grouped to form a byte to represent one character, number, or symbol. Bytes can be grouped to form a field, and related fields can be grouped to form a record. Related records can be collected to form a file, and related files can be organized into a database.

9 File Organization Terms and Concepts The data hierarchy is – Bit – Byte – Field – Record – Entity – Attribute – File – Data base

10 Bit Bit represents the smallest unit of data a computer can handle. Computer input language or binary language. 0, 1

11 Bit 0 or 1

12 Byte A group of bits called a byte. 8 bits make one byte. Ascii or binary code It can be any number or symbol.

13 Byte 0100 1001 (letter 1 in ASCII)

14 Field A grouping of characters into a word, a group of words or a complete number (such as a person’s name or age) is called a field.

15 Field IS 101 (Course Field)

16 Record A group of related fields, such as student’s name, the course taken, the date, the grade, comprises a Record.

17 Record Student_ID course date grade 39044 IS 101 F08 B+

18 File A group of records of the same type is called a file. Multiple tables can make file The records could constitute a student course file.

19 File RecordStudent_ID course date grade 39044 IS 101 F08 B+ 59432 IS 101 F08 A+ 64029 IS 101 F08 C

20 Database A group of related files makes up a database. The student’s course file could be grouped with files on students’ personal histories and financial backgrounds to create a student database.

21 Database Course file Personal file Financial file

22 Entity A record describes an entity. An entity is a person, place or thing or event on which we store and maintain information.

23 Attribute Each characteristic or quality describing a particular entity is called an Attribute. For example, student_id, course, date and grade are attributes of the entity course.

24 Problems With the Traditional File Environment (files maintained separately by different departments) Data redundancy and inconsistency Data redundancy: Presence of duplicate data in multiple files Data inconsistency: Same attribute has different values Program-data dependence: When changes in program requires changes to data accessed by program Lack of flexibility Poor security Lack of data sharing and availability

25 Traditional File Processing The use of a traditional approach to file processing encourages each functional area in a corporation to develop specialized applications and files. Each application requires a unique data file that is likely to be a subset of the master file. These subsets of the master file lead to data redundancy and inconsistency, processing inflexibility, and wasted storage resources.

26 The Database Approach to Data Management Database: Collection of data organized to serve many applications by centralizing data and controlling redundant data Database management system: Interfaces between application programs and physical data files Separates logical and physical views of data Solves problems of traditional file environment Controls redundancy Eliminated inconsistency Uncouples programs and data Enables central management and security

27 Human Resources Database with Multiple Views A single human resources database provides many different views of data, depending on the information requirements of the user. Illustrated here are two possible views, one of interest to a benefits specialist and one of interest to a member of the company’s payroll department.

28 Types of DBMS Relational DBMS Represent data as two-dimensional tables called relations or files Each table contains data on entity and attributes Table: Grid of columns and rows Rows (tuples): Records for different entities Fields (columns): Represents attribute for entity Key field: Field used to uniquely identify each record Primary key: Field in table used for key fields Foreign key: Primary key used in second table as look-up field to identify records from original table

29 Relational Database Tables A relational database organizes data in the form of two-dimensional tables. Illustrated here are tables for the entities SUPPLIER and PART showing how they represent each entity and its attributes. Supplier_Number is a primary key for the SUPPLIER table and a foreign key for the PART table.

30 Relational Database Tables (cont.)

31 Operations of a Relational DBMS Three basic operations used to develop useful sets of data SELECT: Creates subset of data of all records that meet stated criteria JOIN: Combines relational tables to provide user with more information than available in individual tables PROJECT: Creates subset of columns in table, creating tables with only the information specified

32 Three basic operations of RDBMS The select, project, and join operations enable data from two different tables to be combined and only selected attributes to be displayed.

33 Object oriented DBMS Stores data and procedures as objects Capable of managing graphics, multimedia, Java applets Relatively slow compared with relational DBMS for processing large numbers of transactions Hybrid object-relational DBMS: Provide capabilities of both OODBMS and relational DBMS


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