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Logical operators
Analysing two values to return either true or a false result
What are the logical operators
AND, OR, BETWEEN
Comparison operators
Comparing a value against other data when queried
What are the comparison operators?
< | Less than |
<= | Less than or equal to |
> | Greater than |
>= | Greater than or equal to |
= | Equal to |
<> | Not equal to |
Database
Collection of data or information which is held together in an organised way
Where might databases be used?
Schools
Police
Government
Table
structure consisting of organised rows and columns made up of records
Record
Collection of data items relating to an object or person as a row on a table
Field
Part of a record that holds a single item of data, represented by a column
Key field/ primary key
Used to uniquely identify a record e.g Customer ID
Foreign key
primary key from another table, linked to a column
Query
Searches and filters data in a database that satisfies the criteria
Form
Collects data to create, modify or view records
Report
Presents results from queries in an effective manner
Macro
Small programs to perform a repetitive task automatically by executing code when clicked (button)
Relationship
Link two or more tables in a database
Referential integrity
Prevents addition of a new record to ensure data is consistent
Data redundancy
When data is repeated unnecessarily
Data integrity
The correctness, reliability and accuracy of the data
How do relationships work?
link two tables with a common field, the key field from one table is stored as the foreign key another
How are relationships defined?
One-one, one-many, many-many
Why do we import data?
gives more flexibility in handling data
Data validation
checking input to ensure data entered is sensible, reasonable and within acceptable limits
Why do we use data validation?
to ensure data integrity and reduce errors, inconsistences or mistakes
Ensure it is present in the field and not left blank e.g compulsory field in a form
Ensure data is the correct number of characters e.g phone number be is 11 digits
Ensure it is the correct data type e.g Name should be text only
Ensure it is in the correct format that matches a predefined pattern e.g Postcode should be AABB ABB
Ensure it is within upper and lower limits e.g Percentage should range from 1-100
Big data
large amounts of data that have the potential to be mined for information
What are the 3 V’s
volume, variety and velocity
Volume
amount of data stored by organisations, large amounts of data require large storage capacity hardware
Vareity
different types and varieties of data, in many formats which can be structured, semi structured or unstructured
Velocity
speed data can be processed, large volumes need more powerful computers to process data quicker
Data analytics
analysing large volumes of data to produce useful information
Need for data analytics
beneficial to organisations for making decisions and planning for future growth
What makes data analytics harder?
different formats makes preparing and processing the data more challenging
What is used to speed up analytics?
Specialised software such as data mining are designed to process vast quantities
Data type
defines the type of data associated with the field
Text/ string
a mixture of letters and numbers e.g address
Monetary data that includes 2 decimal places e.g £34.56
Binary value that can either be yes/no
Link to a web address e.g email address
A file attached to a record e.g image
A value can be selected from a predefined list e.g dropdown menu