Chapter 9: Database Management Systems Flashcards

1
Q

Flat-file Model

A

Environment in which individual data files are not related to other files

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2
Q

Data attribute

A

Most elemental piece of potentially useful data in the databse

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3
Q

Data redundancy

A

State of data elements being represented in all user files

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4
Q

Data storage

A

Efficient information system that captures and stores data only once and makes this single source available to all users who need it

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5
Q

Data updating

A

Periodic updating of data stored in the files of an organization

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6
Q

Currency of information

A

Problem associated with the flat-file model because of it’s failure to update all the user files affected by a change in status; may result in decisions based on outdated information

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7
Q

Task-data dependency

A

User’s inability to obtain additional information as his or her needs change

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8
Q

Database Management System

A

Software system that controls access to the data resource (program development, backup and recovery, database usage reporting, database access)

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9
Q

Hierarchical Model

A

Database model that represents data in a hierarchical structure and permits only a single parent record for each child record

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10
Q

Network Model

A

Variation of the hierarchical model, allowed two parents for single child record

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11
Q

Relational Model

A

Data model that is more flexible than traditional navigational models, allows users to create new and unique paths through the database to solve a wide range of business problems

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12
Q

Navigational Model

A

Model that possesses explicit links or paths among data elements

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13
Q

Structured Model

A

The data elements for predefined structured paths

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14
Q

Users

A

Individuals who employ systems, receive information, and act on the information received

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15
Q

Data definition language

A

Programming language used to define the physical database to the database management system

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16
Q

Internal View

A

Physical arrangement of records in the database

17
Q

Schema (conceptual view)

A

Description of entire database represented logically and abstractly

18
Q

User view (subschema)

A

Set of data that particular user needs to achieve his or her assigned tasks, defines how particular user sees the portion of the database authorized to see

19
Q

Access Method

A

Technique used to locate records and navigate through the database

20
Q

Data manipulation language

A

language used to insert special database commands into application programs written in conventional languages, programming language used by particular DBMS to retrieve, process, and store data

21
Q

Structured Query Language

A

Data processing tool for end users and professional programmers to access data in the database directly without the need for conventional programs

22
Q

Database Administrator

A

Individual responsible for managing database resource (database planning, design, implementation, operation and maintenance, and change and growth)

23
Q

Data dictionary

A

Description of every data element in database

24
Q

Physical Database

A

Lowest level of the database containing magnetic spots on magnetic disks

25
Entity
Anything about which the organization wishes to capture data
26
Data model
Blueprint for ultimately creating the physical database
27
Entity Relationship Diagram
Graphical representation used to depict data model
28
Occurrence
number of instances or records that pertain to a specific entity
29
Attributes
data elements that define an entity
30
Association
Relationship amongst record types
31
Cardinality
Degree of association between two entities, describes the number of possible occurrences in one table that are associated with a single occurrence in a related table
32
Primary Key
Characteristics that uniquely identify each record in the tables
33
Foreign Key
Key that permits the physical connection of logically related tables to achieve the associations described in the data model
34
Anomalies
Negative operational symptoms caused by improperly normalized tables, can cause DBMS processing problems that restrict or even deny users' access to information they need
35
Update anomaly
Results from data redundancy in an unnormalized table, unintentional updating of data in table
36
Insertion Anomaly
Unintentional insertion of data into the table
37
Deletion Anomaly
Unintentional deletion of data from a table
38
View Modeling
Determines the associations between entities and documents them with an ER diagram, six phases of database design
39