Big Data Analytics

Question 1

Big data sets

Answer 1

Can be tens or hundreds of terabytes and sometimes petabytes

Question 2

Big data definition

Answer 2

Big data generates value from the storage and processing of very large quantities of digital information that cannot be analysed with traditional computing techniques

Question 3

Properties of big data

Answer 3

Cannot be easily stored on a single computer. Are too slow to share over a firm’s network. Are too slow to share across the Internet

Question 4

Examples

Answer 4

Starbucks. McDonald’s.

Question 5

5V’s of big data

Answer 5

Volume. Velocity. Variety. Veracity. Value.

Question 6

Data exhaust

Answer 6

Due to the challenges of volume, velocity and variety, big data generated by many organisations gives them little choice but to ignore or rapidly excrete very large quantities of potentially valuable information.

Question 7

Two ways to think about data

Answer 7

Data snapshots. Data timelines.