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MISY 5300-MID TERM REVIEW WITH ALL CORRECT & 100% VERIFIED ANSWERS (UPDATED TO PASS)

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MISY 5300-MID TERM REVIEW WITH ALL CORRECT & 100% VERIFIED ANSWERS (UPDATED TO PASS)

Institution
Data Science MS
Course
Data science MS

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MISY 5300-MID TERM REVIEW WITH ALL
CORRECT & 100% VERIFIED ANSWERS
1.
(UPDATED TO PASS)
A description of an entity (also called a
Attribute
column or field).

Example: If Student is the entity, then this
would be student name, student ID, etc.

2. The large volume of data produced by every
Big Data
digital process system, sensor, mobile device,
and even social media exchange.

*Contains both unstructured and structured
data

3. A characteristic or property of an entity; also called an Column
attribute or field.

4. A job title for a person who uses tools and Data Analyst
algorithms to mine a database for answers,
information, trends, and insights in internal
organization data.

5. A file that stores data about a single entity in one table Data file
or list.

6. Important to database design, this allows Data independence
you to change the structure of a database
without requiring you to make major
changes to the programs that ac- cess the
database.

7. The duplication of data, or the storing of the same data Data
redundancy
in more than one place.



, MISY 5300-MID TERM REVIEW WITH ALL
CORRECT & 100% VERIFIED ANSWERS
8. (UPDATED TO PASS)
Protection of data from threats including the Data security
preven- tion of unauthorized access to the
database, encryp- tion of data as it travels
through a network, protection






, MISY 5300-MID TERM REVIEW WITH ALL
CORRECT & 100% VERIFIED ANSWERS
(UPDATED TO PASS)
against data corruption, and protection against
all oth- er electronic and physical attacks to
the data.
9. Database
A collection of data organized in a manner that
allows access, retrieval, and use that data.
10. Database design
The process to determine the entities,
attributes, and relationships between tables of
data.

11. A program through which users interact with the data Database
management
stored in a database. system

12. Converting the data in a database to a format Encryption
that
is indecipherable by anyone other than an
authorized user.


13. A conceptual term that such as a person, place, event, Entity
item, or other transaction for which you want
to store and process data (also called a table).

Example: student, product, employee

14. Aka the
15.
conceptual data
model used as
a tool to visu-
ally analyze a
database.

Written for

Institution
Data science MS
Course
Data science MS

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Uploaded on
July 1, 2025
Number of pages
20
Written in
2024/2025
Type
Exam (elaborations)
Contains
Questions & answers

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