IT: Chapter 5: Foundations of business Intelligence Flashcards

1
Q

Database

A

a collection of related files containing records on people, places, or things.

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2
Q

Entity

A

generalized category representing person, place, thing on which we store and maintain information

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3
Q

Attributes

A

specific characteristics of each entity

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4
Q

Relational database

A

organize data into two-dimensional tables (relations) with columns and rows

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5
Q

Fields

A

store data representing an attribute

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6
Q

Rows

A

store data for separate records, records or tuples

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7
Q

Key Field

A

uniquely identifies each record

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8
Q

Primary Key

A

the unique identifier for all the information in any row of the table, and this primary key cannot be duplicated

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9
Q

Foreign Key

A

a look-up field to find data about the supplier of a specific part

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10
Q

Entity-relationship diagram

A

used to clarify table relationships in a relational database

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11
Q

Join table or an intersection relation

A

link two tables in a table that joins information

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12
Q

Normalization

A

the process of streamlining complex groups of data to minimize redundant data elements and awkward many-to-many relationships, and increase stability and flexibility

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13
Q

Referential Integrity rules

A

to ensure that relationships between coupled tables remain consistent

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14
Q

Database Management Systems DBMS

A

a specific type of software for creating, storing, organizing, and accessing data from a database

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15
Q

Logical View

A

how end users view data

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16
Q

Physical View

A

show s how data are actually organized and structured on physical storage media, such as a hard disk

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17
Q

Operations of a Relational DBMS ABBREV

A

SJP

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18
Q

Operations of a Relational DBMS

A

Select
Join
Project

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19
Q

Select

A

Creates a subset of all records meeting stated criteria

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20
Q

Join

A

combines relational tables to represent the server with more information than is available from individual tables

21
Q

Project

A

permits user to create new tables containing only desired information

22
Q

Data Definition

A

specify the structure of the content of the database

23
Q

Data Dictionary

A

automated or manual file that stores definition of data elements and their characteristics

24
Q

Data Manipulation language

A

used to add, change, delete, and retrieve the data in the database

25
Q

Structured Query Language (SQL)

A

to retrieve information they needed from the database

26
Q

Object Oriented DBMS

A

stores the data, and procedures that act on those data as objects that can be automatically retrieved and shared

27
Q

Hybrid object-relational DBMS

A

Provide capabilities for both object-oriented and relational DBMS

28
Q

Data Warehouse

A

a database that stores current and historical data of potential interest to decision makers throughout the company

29
Q

Data Mart

A

a subset 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.

30
Q

Online analytical Processing (OLAP)

A

supports multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions

31
Q

Data mining

A

finding hidden patterns and relationships in large databases and infers rules from them to predict future behavior

32
Q

Associations

A

occurrences inked to single event

33
Q

Sequences

A

events linked over time

34
Q

Classifications

A

describe the group to which an item belongs by examining existing items that have been classified and by inferring a set of rules

35
Q

Clustering

A

works like classification when no groups have yet become defined

36
Q

Forecasting

A

uses a series of existing values to forecast what other values will be

37
Q

Predictive Analysis

A

uses 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

38
Q

Text Mining

A

able to extract key element from large unstructured data sets, discover patters and relationship, and summarize the information

39
Q

Web Mining

A

the discovery and analysis of useful patterns and information from the Web

40
Q

Content Mining

A

the process of extracting knowledge from the content of Web pages, which may include text, image, audio, and video data

41
Q

Structure Mining

A

examines data related to the structure of a particular website

42
Q

Usage Mining

A

examines user interaction data recorded by a Web server

43
Q

Information Policy

A

specifies the organization’s rules for sharing, disseminating, acquiring, standardizing, classifying, and inventory information

44
Q

Data administration

A

responsible for specific policies and procedures through which data can be managed as an organizational resource

45
Q

Database administration

A

database design management group responsible for defining and organizing the structure and content of the database, and maintaining the database

46
Q

Poor Data Quality

A

major obstacle to successful customer relationship management

47
Q

Data Quality Audit

A

structured survey of the accuracy and completeness of the data

48
Q

Data Cleansing

A

aka data scrubbing, consists of activities for detecting and correcting data in a database that are incorrect, incomplete, improperly formatted, or redundant.