Big Data

Question 1

Big data

Answer 1

Data that is too large/complex to be processed or analysed with traditional data processing techniques

Question 2

What makes data “big data”?

Answer 2

o Many data points
o Many variables
o High frequency
o Complex data

Question 3

Volume

Answer 3

Large amounts of data generated from various sources

Question 4

Velocity

Answer 4

Data being created/processed

Question 5

Variety

Answer 5

Data that has many forms (structured, unstructured, text, multimedia)

Question 6

Veracity

Answer 6

Incomplete/inconsistent data

Question 7

Structured data

Answer 7

All data follows the same format, making it easier to store and search

Question 8

Unstructured data

Answer 8

Combination of different formats (e.g. file types)

Question 9

Semi-structured data

Answer 9

Structured in form, but with less constraints than structured data

Question 10

DIKW Model

Answer 10

1. Raw data (red)
2. Meaning of data (Traffic light has turned red)
3. Context of data (The traffic light I’m driving towards has turned red)
4. Data is then applied (Stop the car)

Question 11

DRIP

Answer 11

Data Rich, Information Poor

Question 12

Statistics

Answer 12

Data is usually collected to (dis)prove a hypothesis

Question 13

Data science

Answer 13

Analysing data that has already been collected for other reasons

Question 14

Analytics

Answer 14

Describe - identify trends
Diagnose - analyse past data to identify why something happened
Predict - predict future trends/events
Prescribe - act on the prediction