Topic 3-Database Concepts Flashcards

1
Q

Table

A

A table consisting of a number of records

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2
Q

Record

A

A record is represented as a row in a table

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3
Q

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

Key field

A

A key field uniquely identifies one record

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5
Q

Query

A

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

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6
Q

Forms

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

Reports

A

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

The layout of reports can be customised,such sd grouping similar data or presenting data in ascending or descending order

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8
Q

Macros

A
  • Macros are small programs that are written to preform a repetitive database task automatically
  • They are used to add functionality to forms and reports
  • Running a macro will result in instructions stored within the macro being executed with a single click of a button
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9
Q

Database relationships

A
  • Database relationships link two or more tables in a database using a relationship type
  • For this to happen,a common field must be stored in each table;the key field from one table as a non-key field (also called a ‘foreign key’)
  • Relationships are defined as one-to-one, one-to-many or many-to-many
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10
Q

Importing data

A
  • It is possible to import a number of worksheets from a spreadsheet to a database package or vice versa
  • This gives organisations more flexibility in handling their data
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11
Q

Text

A

Text and data that is a mixture of text and numbers,e.g. as a postcode

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12
Q

Number

A

Numeric data that requires a mathematical calculation

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13
Q

Date/Time

A

Dates and times

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14
Q

Currency

A

Monetary data;includes 2 decimal places

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15
Q

Autonumber

A

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

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16
Q

Yes/No

A

Data that has two possible values,e.g. Yes/No or True/False;this is called a ‘Boolean value’

17
Q

OLE object

A

Object linking and embedding;objects created using a software package other than a database

18
Q

Hyperlink

A

A link to a web address (URL)

19
Q

Attachment

A

A file attached to a record,e.g. a digital image

20
Q

Calculated

A

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

21
Q

Lookup wizard

A

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

22
Q

Data validation

A
  • Data validation involves checking of data at the input stage to ensure it is reasonable,sensible and within acceptable limits
  • It guarantees that is present,and of the correct type,range or length
  • The computer checks data and either accepts the data,or rejects it and displays an error message
  • A number of data validation checks exsist
23
Q

Presence check

A

Ensures data is present;the field cannot be left blank

24
Q

Length check

A

Ensures data is the correct number of characters

25
Type check
Ensures data is of the correct type, e.g. Numeric/text
26
Format check
Ensures data matches a predetermined pattern
27
Range check
Ensures data is within a lower and upper limit
28
Logical and comparison operators
- Comparing a value against other data is a typical operation when data is queried in a database - Logical operators analyse 2 values and return either a true or false result - Operators are denoted by the words AND,OR and BETWEEN
29
Less than
30
>
More than
31
<=
Less than or equal to
32
>=
More than or equal to
33
=
Equal to
34
<>
Not equal to
35
Big data
- Big data refers to large amounts of data that have the potential to be mined for information - It can be described as the 3Vs:volume,variety and velocity
36
Volume
- 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 different sources,requiring large storage capacity hardware - Data storage is now measured in terabytes
37
Variety
- Refers to the different types and varieties of data - Data is now stored in many formats,e.g. video and images;not just text - Data can be structured,semi-structured or unstructured
38
Velocity
- 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
Need for data analytics to interpret big data
- Data analytics involves analysing large volumes of data to produce useful information - This is beneficial to organisations for making decisions and planning for future growth - Specialised software such as data mining and statistical analysis are designed to process vast quantities of data - When data is in different formats (e.g. Structured/unstructured) it makes preparing snd processing the data more challenging for data analytics