week 7

3.7 Data dimensions and maintenance

3.7.1 Know the definitions of the six Vs (dimensions) and understand the

six Vs (dimensions) of Big Data and their impact on gathering, storing,

maintaining and processing:

• volume

• variety

• variability

• velocity

• veracity

• value.

3.7.2 Know the definition of Big Data and understand that it has multiple

dimensions.

3.7.3 Understand the impact of each dimension on how data is gathered

and maintained.

3.7.4 Know the definitions of data quality assurance methods and understand

their purpose and when each is used:

• validation

• verification

• reliability

• consistency

• integrity

• redundancy.

3.7.5 Know and understand factors that affect how data is maintained:

• time

• skills

• cost.

3.7.6 Understand the interrelationships between the dimensions of data, quality

assurance methods and factors that impact how data is maintained and

make judgements about the suitability of maintaining, transforming and

quality assuring data in digital support and security.

Last Updated
2025-07-07 15:33:37