Database Concepts, Data Types, and Metadata – Lecture Review

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58 question-and-answer flashcards covering data types, structured vs. unstructured data, multimedia databases, metadata properties, basic quantitative reasoning, and quadratic-equation fundamentals.

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58 Terms

1
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What type of data is a small business owner's customer contact database containing names, addresses, and phone numbers?

Structured data

2
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Which description best defines structured data?

Data stored in a tabular form, including numeric, character, and date data types

3
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Why is the data in the small business owner's database considered structured?

Because it is stored in a tabular form and includes specific data types like names, addresses, and phone numbers

4
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How many bytes are in 1 petabyte (PB)?

10^15 bytes

5
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How many bytes are in 3 petabytes?

3 × 10^15 bytes

6
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What data types are represented by a photo image, a sound recording, and a scanned image in a database?

Photo image, sound recording, and scanned image (multimedia data)

7
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Do photo, sound, and scanned image data types fit into traditional tabular forms?

No, they do not fit into traditional tabular forms

8
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What type of data includes multimedia elements such as images, sound, and video?

Unstructured data

9
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Is a database containing a photo image, sound recording, and scanned image structured or unstructured?

Unstructured data

10
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What is the traditional definition of data?

Facts concerning objects and events that could be recorded and stored on computer media

11
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In an automobile repair shop scenario combining customer records with multimedia files, what types of data are involved?

Both structured and multimedia data

12
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Combining structured data with multimedia data in a database results in what kind of environment?

A true multimedia environment

13
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How many terabytes (TB) are in 3 petabytes (PB)?

3000 TB

14
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Why might a database of several terabytes contribute to complexity?

Because several terabytes of data often involve complex data management and processing

15
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Why does data variety add complexity to decision support databases?

Decision support applications require sophisticated analysis and integration of various data types

16
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Considering size and variety, why is a multi-terabyte decision support database considered complex?

The combination of large size and the need for complex data analysis makes it complex

17
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Are the raw facts "Smith, John A. – 123456789; Doe, Jane B. – 987654321" processed or contextualized?

No, they are raw and unprocessed

18
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Do those raw facts increase a user’s knowledge?

No, they do not increase knowledge

19
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Are those raw facts data or information?

Data

20
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What is the first step to transform the facts "Brown, Alice M.–112233445; Green, Bob C.–556677889" into information?

Identify the raw data provided

21
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What context could be added to turn those facts into information?

Identify them as a class roster for a particular course

22
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Which structured presentation of those student records increases user knowledge?

Brown, Alice M. – Student ID: 112233445; Green, Bob C. – Student ID: 556677889

23
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What is the total enrollment for courses A (30), B (25), and C (40)?

95 students

24
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Which course has the highest enrollment among A, B, and C?

Course C

25
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Which graphical representation best summarizes the enrollment data?

Bar chart

26
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Based on enrollments, what might be a potential need for Course C?

Additional resources or faculty

27
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Given data for students Wilson and Thompson, what additional item is needed to make it useful to a course instructor?

Course names

28
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Which statement correctly adds context and structure to Wilson and Thompson’s data?

Wilson, Emma J. – Student ID: 334455667 – Course: Math 101; Thompson, David K. – Student ID: 998877665 – Course: Physics 202

29
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Total number of courses taught by Drs. Smith (3), Johnson (2), and Lee (4)?

9

30
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Which faculty member has the highest workload?

Dr. Lee

31
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What percentage of total courses does Dr. Johnson teach (2 out of 9)?

22.22%

32
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What is an appropriate summary statement of the faculty course data?

Dr. Smith teaches 3, Dr. Johnson 2, Dr. Lee 4; total 9 courses; Dr. Lee has the highest workload, which may require adjustment

33
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What is the quadratic formula for ax^2 + bx + c = 0?

x = [−b ± √(b^2 − 4ac)] / (2a)

34
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For 2x^2 − 4x − 6 = 0, what is the discriminant value?

64

35
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What are the roots of 2x^2 − 4x − 6 = 0?

x = 3 and x = −1

36
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What is the sum of those roots?

2

37
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What is the product of those roots?

−3

38
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What is the correct metadata length property for “Student Name”?

50

39
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What is the correct metadata source for “Course Code”?

Academic Unit

40
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What is the correct metadata description for “Student Name”?

Full name of the student

41
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What is the data type metadata for “Course Code”?

Alphanumeric

42
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For “Student ID” metadata, which property is missing or inconsistent?

Min

43
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For “GPA” metadata (Decimal, Length 4, Min 0.0, Max 4.0), which properties are missing or inconsistent?

None

44
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Which GPA value violates metadata constraints (0.0–4.0)?

4.5

45
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Which Student ID value violates metadata constraints (Integer, Length 9)?

12345678 (8 digits)

46
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Which definition correctly specifies metadata for “Course Title”?

Name: Course Title; Type: Alphanumeric; Length: 100; Description: The title of the course; Source: Academic Unit

47
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Which definition correctly specifies metadata for “Enrollment Count”?

Name: Enrollment Count; Type: Integer; Length: 3; Min: 0; Max: 999; Description: Number of students enrolled in the course; Source: Registrar

48
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What is the data type of the “Major” data item?

Alphanumeric

49
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What is the length of the “Major” data item?

4

50
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What is the description of the “Major” data item?

Student major

51
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What is the source of the “Major” data item?

Student Information System

52
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Why is managing metadata crucial for database designers and users?

It provides essential context about the data, such as its source, meaning, and usage

53
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How does metadata help avoid data misinterpretation?

By distinguishing between similar data items and ensuring they are interpreted correctly

54
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What is the best description of metadata?

Data about data

55
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Which item is an example of descriptive metadata?

File title

56
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Which type of metadata is used to manage and control data?

Administrative metadata

57
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What is the primary purpose of structural metadata?

To provide information about the format and structure of data files

58
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Which of the following is NOT a common use of metadata?

Increasing data redundancy