Topic 3: Database Applications Flashcards

1
Q

What does a table consist of?

A

A table consists of a number of records

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2
Q

What is a record represented as?

A

A record is represented as a row in a table

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3
Q

What is a field?

A

A field is part of a record that stores a single data item, represented by a column

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4
Q

What is a key field?

A

A key field uniquely identifies one record

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5
Q

What is a query?

A

A query searches and filters data in a database that satisfies the query criteria

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6
Q

What are forms used for?

A

Forms are used to collect data to create a new record, modify an existing record or view records already stored in a table

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7
Q

What are reports?

A

Reports are used to present results from queries in an effective manner

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8
Q

What is a macro?

A

Macros are small programs that are written to perform a repetitive database task manually

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9
Q

What are macros used for?

A

They are used to add functionality to forms and reports

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10
Q
A
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11
Q

what is database relationships?

A

database relationships link two or more tables in a database using a relationship type

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12
Q

How does relational databases happen?

A

A common field must be stored in each table; the key field from one table is stored in another table as a non-key field (foreign key)

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13
Q

How can relationships be defined?

A
  • one-to-one
  • one-to-many
  • many-to-many
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14
Q

Data Types:
Text

A

Text and data that is a mixture of text and numbers (e.x a postcode)

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15
Q

Data Types:
Number

A

Numeric data that requires a mathematical calculation

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16
Q

Data Types:
Date/Time

A

Used to add dates and times

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17
Q

Data Types:
Currency

A

Monetary data; this means it includes two decimal places

18
Q

Data Types:
Auto number

A

To create a key field, the computer generates sequential numbers that are automatically inserted for each new record created

19
Q

Data Types:
Yes/No

A

Data that has two possible values (e.x Yes/No or True/False), this is called a Boolean value

20
Q

Data Types:
OLE Object

A

Object Linking and Embedding; objects created using a software package other than a database

21
Q

Data Types:
Hyperlink

A

A link to a web address (URL)

22
Q

Data Types:
Attachment

A

A file attached to a record (e.x an image)

23
Q

Data Types:
Calculated

A

The result of a calculation produced from another field in the record

24
Q

Data Types:
Lookup Wizard

A

A value can be selected from a predefined list and entered into the field

25
Data Validation: Presence Check
This ensures that data is present; the field cannot be left blank
26
Data Validation: Length Check
This ensures that data entered is the correct number of characters
27
Data Validation: Type Check
This ensures that data is of the correct type (e.x numeric / Date/Time)
28
Data Validation: Format Check
This ensures that data matches a predetermined pattern
29
Data Validation: Range Check
This ensures that data is within a lower and upper limit
30
What is this operator? <
Less than
31
What is this operator? <=
Less than or equal to
32
What is this operator? >
Greater than
33
What is this operator? >=
Greater than or equal to
34
What is this operator? =
Equal to
35
What is this operator? <>
Not equal to
36
Big Data: Volume
- This refers to the amount of data stored by organisations - Data is raw facts and figures that is unprocessed - Organisations now store large amounts of data from difference sources, requiring large storage capacity hardware
37
Big Data: Variety
- Refers to the different types and varieties of data - Data is now stored in many formats (e.x video and images, not just text) - Data can be structured, semi-structured or unstructured
38
Big Data: Velocity
- This refers to the speed at which data can be processed - Due to large volumes of data, there is a need to use more powerful computers to process the data more quickly
39
What is data analytics?
Data analytics involves analysing large volumes of data to produce useful information
40
Why is data analytics beneficial?
It is beneficial to organisations for making decisions and planning for future growth
41
What can make data analytics difficult?
When data is in different formats, it makes preparing and processing the data more challenging