| Class: | INFO 3130 - Management Information Systems |
| Subject: | Management Information Systems |
| University: | University of North Carolina - Charlotte |
| Term: | Spring 2012 |
INCORRECT
CORRECT
Database Management System
is software that permits an organization to centralize data, manage them efficiently, and provide access to the stored data by application programs
the most popular type of DBMS today for PCs
represents data as two-dimensional tables (called relations)
Structured Query Language
most prominent data manipulation language today
the process of creating small, stable, yet flexible and adaptive data structure from complex groups of data (see page 220, powerpoint slide #20-22)
Online Analytical Processing
supports multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions

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field
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a grouping of characters into a word, a group of words, or a complete number (such as a person's name or age) |
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record
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a group of related fields, such as the student's name, the course taken, the date, and the grade |
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file
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a group of records of the same type |
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database
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a group of related files |
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entity
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is a person, place, thing, or event on which we store and maintain information |
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attribute
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each characteristic or quality describing a particular entity |
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data redundancy
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the presence of duplicate data in multiple data files so that the same data are stored in more than place or location |
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data inconsistency
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the same attribute may have different values |
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program-data dependence
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refers to the coupling of data stored in files and the specific programs required to update and maintain those files such that changes in programs require changes to the data |
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DBMS
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Database Management System is software that permits an organization to centralize data, manage them efficiently, and provide access to the stored data by application programs |
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relational DBMS
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the most popular type of DBMS today for PCs represents data as two-dimensional tables (called relations) |
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tuples
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(row) - records for different entities |
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key field
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the field for Supplier_Number in the SUPPLIER table uniquely identified each record so that the record can be retrieved, updated, or sorted (see page 214, powerpoint slide #10) |
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primary key
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each table in a relational database has one field that is called this |
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foreign key
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primary key used in second table as lookup field a lookup field to look up data about the supplier of a specific part |
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object-oriented DBMS
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stores the data and procedures that act on those data as objects that can be automatically retrieved and shared |
Koofers.com
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object-relational DBMS
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available to provide capabilities of both object-oriented and relational DBMS |
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data definition
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capability to specify the structure of the content of the database |
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data dictionary
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an automated or manual file that stores definitons of data elements and their characteristics |
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data manipulation language
|
a language associated with a database management system that end users and programmers use to manipulate data in the database |
Koofers.com
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SQL
|
Structured Query Language most prominent data manipulation language today |
|
normalization
|
the process of creating small, stable, yet flexible and adaptive data structure from complex groups of data (see page 220, powerpoint slide #20-22) |
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referential integrity
|
rules to ensure that relationships between coupled tables remain consistent |
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entity-relationship diagram
|
database designers document their data model with this (see page 221, powerpoint # |
Koofers.com
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data warehouse
|
a database that stores current and historical data of potential interest to decision makers throughout the company |
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data mart
|
a subject of a data warehouse in which a summarized or highly focused portion of the organization's data is placed in a separate database for a specific population of users |
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OLAP
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Online Analytical Processing supports multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions |
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data mining
|
provides insights into corporate data that cannot be obtained with OLAP by finding hidden patterns and relationships in large databases and inferring rules from them to predict future behavior |
Koofers.com
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predictive analytics
|
use data mining techniques, historical data, and assumptions about future conditions to predict outcomes of events, such as the probability a customer will respond to an offer or purchase a specific product |
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text mining
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tools to extract key elements from large unstructured data sets, discover patterns and relationships, and summarize the information |
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web mining
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the discovery and analysis of useful patterns and information from the World Wide Web |
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information policy
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specified the organization's rules for sharing, disseminating, acquiring, standardizing, classifying, and inventorying information |
Koofers.com
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data administration
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responsible for the specific policies and procedures through which data can be managed as an organizational policies and procedured through which data can be managed as an organizational resource |
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data governance
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deals with the policies and processes for managing the availability, usavility, integrity, and security of the data employed in an enterprise, with special emphasis on promoting privacy, security, data quality, and compliance with government regulations |
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database server
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|
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database adminstration
|
refers to the more technical and operational aspects of managing data, including physical database design and maintenance |
Koofers.com
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data quality audit
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a structured survey of the accuracy and level of completeness of the data in an information system |
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data cleansing
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consists of activities for detecting and correcting data in a database that are incorrect, incomplete, improperly formatted, or redundant |
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broadband
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hubs
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protocol
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TCP/IP
|
Transmission Control Protocol/Internet Protocol |
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modem
|
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LAN
|
Local Area Network |
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star topology
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bus topology
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ring topology
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MAN
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Koofers.com
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hertz
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bandwidth
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DSL
|
Digital Subscriber Line |
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cable internet connections
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Koofers.com
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T1 lines
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IP address
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DNS
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internet2
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Koofers.com
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telnet
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FTP
|
File Transfer Protocol |
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email
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instant messaging
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Koofers.com
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fiber-optic cable
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VoIP
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Front |
Back |
|
|---|---|---|
| field | a grouping of characters into a word, a group of words, or a complete number (such as a person's name or age) | |
| record | a group of related fields, such as the student's name, the course taken, the date, and the grade | |
| file | a group of records of the same type | |
| database | a group of related files | |
| entity | is a person, place, thing, or event on which we store and maintain information | |
| attribute | each characteristic or quality describing a particular entity | |
| data redundancy | the presence of duplicate data in multiple data files so that the same data are stored in more than place or location | |
| data inconsistency | the same attribute may have different values | |
| program-data dependence | refers to the coupling of data stored in files and the specific programs required to update and maintain those files such that changes in programs require changes to the data | |
| DBMS | Database Management System is software that permits an organization to centralize data, manage them efficiently, and provide access to the stored data by application programs | |
| relational DBMS | the most popular type of DBMS today for PCs represents data as two-dimensional tables (called relations) | |
| tuples | (row) - records for different entities | |
| key field | the field for Supplier_Number in the SUPPLIER table uniquely identified each record so that the record can be retrieved, updated, or sorted (see page 214, powerpoint slide #10) | |
| primary key | each table in a relational database has one field that is called this | |
| foreign key | primary key used in second table as lookup field a lookup field to look up data about the supplier of a specific part | |
| object-oriented DBMS | stores the data and procedures that act on those data as objects that can be automatically retrieved and shared | |
| object-relational DBMS | available to provide capabilities of both object-oriented and relational DBMS | |
| data definition | capability to specify the structure of the content of the database | |
| data dictionary | an automated or manual file that stores definitons of data elements and their characteristics | |
| data manipulation language | a language associated with a database management system that end users and programmers use to manipulate data in the database | |
| SQL | Structured Query Language most prominent data manipulation language today | |
| normalization | the process of creating small, stable, yet flexible and adaptive data structure from complex groups of data (see page 220, powerpoint slide #20-22) | |
| referential integrity | rules to ensure that relationships between coupled tables remain consistent | |
| entity-relationship diagram | database designers document their data model with this (see page 221, powerpoint # | |
| data warehouse | a database that stores current and historical data of potential interest to decision makers throughout the company | |
| data mart | a subject of a data warehouse in which a summarized or highly focused portion of the organization's data is placed in a separate database for a specific population of users | |
| OLAP | Online Analytical Processing supports multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions | |
| data mining | provides insights into corporate data that cannot be obtained with OLAP by finding hidden patterns and relationships in large databases and inferring rules from them to predict future behavior | |
| predictive analytics | use data mining techniques, historical data, and assumptions about future conditions to predict outcomes of events, such as the probability a customer will respond to an offer or purchase a specific product | |
| text mining | tools to extract key elements from large unstructured data sets, discover patterns and relationships, and summarize the information | |
| web mining | the discovery and analysis of useful patterns and information from the World Wide Web | |
| information policy | specified the organization's rules for sharing, disseminating, acquiring, standardizing, classifying, and inventorying information | |
| data administration | responsible for the specific policies and procedures through which data can be managed as an organizational policies and procedured through which data can be managed as an organizational resource | |
| data governance | deals with the policies and processes for managing the availability, usavility, integrity, and security of the data employed in an enterprise, with special emphasis on promoting privacy, security, data quality, and compliance with government regulations | |
| database server | ||
| database adminstration | refers to the more technical and operational aspects of managing data, including physical database design and maintenance | |
| data quality audit | a structured survey of the accuracy and level of completeness of the data in an information system | |
| data cleansing | consists of activities for detecting and correcting data in a database that are incorrect, incomplete, improperly formatted, or redundant | |
| broadband | ||
| hubs | ||
| protocol | ||
| TCP/IP | Transmission Control Protocol/Internet Protocol | |
| modem | ||
| LAN | Local Area Network | |
| star topology | ||
| bus topology | ||
| ring topology | ||
| MAN | ||
| hertz | ||
| bandwidth | ||
| DSL | Digital Subscriber Line | |
| cable internet connections | ||
| T1 lines | ||
| IP address | ||
| DNS | ||
| internet2 | ||
| telnet | ||
| FTP | File Transfer Protocol | |
| instant messaging | ||
| fiber-optic cable | ||
| VoIP |
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