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
Structured Query Language (SQL)
to retrieve information they needed from the database
26
Object Oriented DBMS
stores the data, and procedures that act on those data as objects that can be automatically retrieved and shared
27
Hybrid object-relational DBMS
Provide capabilities for both object-oriented and relational DBMS
28
Data Warehouse
a database that stores current and historical data of potential interest to decision makers throughout the company
29
Data Mart
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
Online analytical Processing (OLAP)
supports multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions
31
Data mining
finding hidden patterns and relationships in large databases and infers rules from them to predict future behavior
32
Associations
occurrences inked to single event
33
Sequences
events linked over time
34
Classifications
describe the group to which an item belongs by examining existing items that have been classified and by inferring a set of rules
35
Clustering
works like classification when no groups have yet become defined
36
Forecasting
uses a series of existing values to forecast what other values will be
37
Predictive Analysis
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
Text Mining
able to extract key element from large unstructured data sets, discover patters and relationship, and summarize the information
39
Web Mining
the discovery and analysis of useful patterns and information from the Web
40
Content Mining
the process of extracting knowledge from the content of Web pages, which may include text, image, audio, and video data
41
Structure Mining
examines data related to the structure of a particular website
42
Usage Mining
examines user interaction data recorded by a Web server
43
Information Policy
specifies the organization’s rules for sharing, disseminating, acquiring, standardizing, classifying, and inventory information
44
Data administration
responsible for specific policies and procedures through which data can be managed as an organizational resource
45
Database administration
database design management group responsible for defining and organizing the structure and content of the database, and maintaining the database
46
Poor Data Quality
major obstacle to successful customer relationship management
47
Data Quality Audit
structured survey of the accuracy and completeness of the data
48
Data Cleansing
aka data scrubbing, consists of activities for detecting and correcting data in a database that are incorrect, incomplete, improperly formatted, or redundant.