Chapter 3: Data and Business Intelligence Flashcards

1
Q

Database

A

collection of related data stored in central or multiple locations. (Group of files)

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2
Q

Data Hierarchy Components (3)

A

Data File
Record
Field

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3
Q

Data File

A

Group of related records

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4
Q

Records

A

row of data files and fields

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5
Q

Field

A

column in data file

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6
Q

Database Design: Physical View and example

A

one physical view to store and retrieve data etc CD, Tape, Disk

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7
Q

Database Design: Logical View and 3 structures

A

The form of the data model and how data is presented to users
1. Hierarchical Model
2. Network Model
3. Relational Model

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8
Q

Hierarchical Model

A

Distinct authority and sequence of data, order to look up files, add or delete lines

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9
Q

Network Model

A

Different Path Sequences of data to look up files. Can change and edit

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10
Q

Relational Model and contains a…

A

Data Files linked through keys etc spreadsheets
and contains a data dictionary

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11
Q

Relational Model and contains a…

A

Data Files linked through keys etc spreadsheets
and contains a data dictionary

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12
Q

Data Dictionary Components and description (3)

A

Field Name (attribute)
Field Data Type (type)
Validation (Rule)

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13
Q

Primary Key

A

Unique identifier for each record

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14
Q

Foreign Key

A

establishes relationships among multiple tasks, primary key appears in another table

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15
Q

Normalization

A

eliminates redundant data, improves efficiency

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16
Q

Why don’t we have one large table or large data file?

A

Smaller tables increase efficiency, relevancy and reduce redundancy

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17
Q

Database Management Software

A

creating, storing, maintaining and accessing database files

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18
Q

2 Methods to access data files

A

Sequential, Random, Indexing

19
Q

Sequential

A

Specific or numerical order

20
Q

Random

A

Any order, regardless of location

21
Q

Indexing

A

Access sequential or random, combination of both

22
Q

Database Management Software: Database Engine
responsibilities and tasks

A

responsible for data storage and manipulation, retrieval
tasks: converts logical requests from users into physical equivalents

23
Q

Database Management Software: Data Definition 3 tasks

A

create and maintain data dictionary
define structure of files
change fields

24
Q

Database Management Software: Data Manipulation
4 major functions and second component

A

add, delete, retrieve, modify
Query Language

25
Query Language: what are they 4 major functions conditional words
Keywords that specify actions Inset, delete, select and update other: from, where, order, and, not, or, join (conditions)
26
Query by example: Process
construct statement of query forms, graphical interface request data from database and comes in database table or formats using query language code
27
Database Management Software: Application Generation
design elements of an application using a database
28
Data entry:
interactive menus and interfaces with other programming languages
29
Database Management Software: Data Administration (5 tasks)
Backup and recovery security change management design evaluation
30
Object Oriented Databases: what is it? Attributes Methods
database similar to high level codes that represent real world entities Attributes: characteristics and qualities Methods: what they can do
31
Encapsulation:
Group attributes and method of class to restrict modification
32
Inheritance:
New class have same attributes and methods with modified specification
33
Data Driven Website useful for (2)
interface to database, retrieval of data and enter data e-commerce and forums/discussions
34
Distributed Databases - servers (3) - pros - cons
Data stored in multiple servers fragmentation, replication, allocations pros: faster queries, minimize cost and failures cons: less secure
35
Data-warehouse and data comes from
collection of data support decision-making applications and generating business intelligence data comes from internal and external
36
Data-warehouse process (ETL)
extraction - collect data Transformation - correct format to meet needs loading - transfer data to warehouse
37
Online Analytical Processing (OLAP)
organize data, provide multidimensional analysis (cube)
38
Data mining analysis
discover patterns and relations
39
Information and reports for decision making (3)
cross reference, find patterns and trends, analyze historical data quickly
40
Types of Data (3)
Raw: original form Summary: subtotals of categories Metadata: info etc content, quality, origin, condition
41
Data Mart Advantage
Smaller version of data warehouse used by single department or function Advantage: access faster, easy to create, less expensive
42
Data Lake
gathers and stores raw data in a central locations
43
Big Data 5 V's and description
Velocity: process time and streams, data collection Value: probability, patterns, correlation Veracity: Quality of data or errors, validity and reliability Variety: Format and structure of data Volume: how much data, records, files
44
Business Analytics Descriptive Predictive Prescriptive
data and statistical models to gain insight into the data what happened predict future or events prepare and how to prevent