Information Management (BRIEF) Flashcards

1
Q

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

A

Database Design

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2
Q

The first step in designing a database.

A

Data Modelling

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3
Q

Is relatively simple representation, usually graphical, of more complex real-world data structures.

A

Data Model

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4
Q

Basic building blocks for data model.

A

Entity, Attribute, and Relationship

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5
Q

It is a person, place, thing, or event about which data will be collected and stored.

A

Entity

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6
Q

It is a characteristic of an entity.

A

Attribute

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7
Q

It describes an association among entities.

A

Relationship

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8
Q

Three types of relationships.

A

One-to-one (1:1)
One-to-many (1:M)
Many-to-many (M:M)

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9
Q
  • Developed in the 1960s.
  • Represented by an upside-down tree.
  • Equivalent of a file system’s record type.
A

Hierarchical Model

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10
Q
  • Created to represent complex data relationships.
A

Network Model

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11
Q

It is the conceptual organization of the entire database as viewed by the database administrator.

A

Schema

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12
Q

It defines the portion of the database by the application programs that actually produce the desired information.

A

Subschema

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13
Q

It defines the environment in which data can be managed.

A

Data Manipulation Language (DML)

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14
Q

It allows the database administrator to define the schema components.

A

Data Definition Language (DDL)

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15
Q
  • Introduced in 1976 by Peter Chen.
  • Became popular because it complemented the relational data model concepts.
  • Combined with relational data model.
A

Entity Relationship Model

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16
Q
  • Both data and its relationships are contained in a single structure.
  • Said to be a semantic data model because it indicates meaning.
A

Object-Oriented Model

17
Q

A metalanguage used to represent and manipulate data elements.

A

Extensible Markup Language (XML)

18
Q

Emerging Data Models

A

Big Data and NoSQL

19
Q

Refers to a movement to find a new and better ways to manage large amounts of web and sensor-generated data and derive business insight from it, while simultaneously providing high performance scalability at a reasonable cost.

20
Q

Refers to the amounts of data being stored.

21
Q

Refers not only to the sped with which data grows but also to the need to process this data quickly in order to generate information and insight.

22
Q

Refers to the fact that the data being collected comes in multiple different data formats.

23
Q
  • A large-scale distributed database system that stores structured and unstructured data in efficient ways.
  • Amazon, Facebook, YouTube, and Google Maps uses this database.