Advance Database System Flashcards

1
Q

Process of describing the data, relationships between the data, and the constraints on the data.

A

Conceptual Database Design

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2
Q

Iterative and progressive process of creating a specific data model
for a determined problem domain

A

Data modeling

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3
Q

Simple representations of complex real-world data structures

A

Data models

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4
Q

Abstraction of a real-world object or event

A

Model

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5
Q

focuses on how the database structure will be used to store and manage end-
user data

A

Database design

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6
Q

clearly defined
area within the real-world environment, with a well-defined scope and boundaries that will be
systematically addressed.

A

problem domain

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7
Q

represents a particular type of object in the real world, which means an entity
is “distinguishable”—that is, each entity occurrence is unique and distinct

A

entity

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8
Q

A characteristic of an entity.

A

attribute

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9
Q

describes an association among entities

A

relationship

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10
Q

a restriction placed on the data.

A

constraint

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11
Q

a brief, precise, and unambiguous description
of a policy, procedure, or principle within a specific organization

A

business rule

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12
Q

use data models to communicate with programmers and end
users.

A

Database designers

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13
Q

an abstraction of a complex real-world data environment.

A

data model

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14
Q

used to identify and define the basic modeling
components within a specific real-world environment.

A

Business rules

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15
Q

Raw facts. Not yet been processed to reveal the meaning.

A

Data

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16
Q

Generation, storage, and retrieval of data

A

Data management

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17
Q

Produced by processing data. Reveals the meaning of data.

A

Information

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18
Q

Shared, integrated computer structure that stores a collection of end-user
data and metadata.

A

Database

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19
Q

Raw facts of interest to end user

A

End-user data

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20
Q

Data about data, which the end-user data are integrated and managed.

A

Metadata

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21
Q

Collection of programs. Manages the database
structure.

A

Database management system (DBMS)

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22
Q

Raw facts of interest to end user

A

End-user data

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23
Q

serves as the intermediary between the user and the database.

A

DBMS

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24
Q

Supports one user at a time

A

Single-user database

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25
Supports multiple users at the same time
Multiuser database
26
Data is located at a single site.
Centralized database
27
Data is distributed across different sites.
Distributed database
28
Created and maintained using cloud data services (internet powered), such as Microsoft Azure or Amazon AWS, that provide defined performance measures for the database.
Cloud database
29
Contains a wide variety of data used in multiple disciplines.
General-purpose databases
30
Contains data focused on specific subject areas.
Discipline-specific databases
31
Designed to support a company’s day-to-day operations. It is also known as an online transaction processing (OLTP) database, transactional database, or production database
Operational database
32
Stores historical data and business metrics used exclusively for tactical or strategic decision making.
Analytical database
33
It is a specialized database that stores data in a format optimized for decision support.
Data warehouse
34
It is a set of tools that work together to provide an advanced data analysis environment for retrieving, processing, and modeling data from the data warehouse.
Online analytical processing (OLAP):
35
In recent times, this area of database application has grown in importance and usage, to the point that it has evolved into its own discipline:
Business intelligence
36
It is a data that exists in its original (raw) state—that is, in the format in which it was collected
Unstructured data
37
It is the result of formatting unstructured data to facilitate storage, use, and generation of information.
Structured data
38
refers to the activities that focus on the design of the database structure that will be used to store and manage end-user data.
Database design
39
Raw facts, such as telephone number, birth date, customer name, year-to- date (YTD) sales value.
Data
40
A character or group of characters (alphabetic or numeric) that has a specific meaning
Field
41
A logically connected set of one or more fields that describes a person, place, or thing.
Record
42
A collection of related records.
File
43
This anomaly happens when changes are made to a file with redundant data, and all other related data are not updated properly
Update Anomalies
44
This anomaly happens when inserting vital data into the database is not possible because other data is not already there.
Insert Anomalies
45
This anomaly happens when the deletion of unwanted information causes desired information to be deleted as well.
Delete Anomalies
46
refers to an organization of components that define and regulate the collection, storage, management, and use of data within a database environment.
database system
47
database system five major parts
hardware, software, people, procedures, and data.
48
refers to all of the system’s physical devices.
Hardware.
49
Three types of software
Operating system software DBMS software Application programs and utility software
50
This component includes all users of the database system.
People
51
the instructions and rules that govern the design and use of the database system.
Procedures
52
Stores definitions of the data elements and their relationships
Data dictionary
53
Ensures efficient performance of the database in terms of storage and access speed
Performance tuning
54
Transforms entered data to conform to required data structures
Data transformation and presentation
55
Enforces user security and data privacy.
Security management
56
Sophisticated algorithms ensure that multiple users can access the database concurrently without compromising its integrity
Multiuser access control
57
Enables recovery of the database after a failure
Backup and recovery management
58
Minimizes redundancy and maximizes consistency
Data integrity management
59
Lets the user specify what must be done without having to specify how
Query language
60
De facto query language and data access standard supported by the majority of DBMS vendors
Structured Query Language (SQL)
61
Accept end-user requests via multiple, different network environments
Database communication interfaces