Module 2

Question 1

Bid data…
-the sources of digital data used for analytics are growing _______
-big data is an _____ of data
-this is the ______ revolution

Answer 1

-exponentially
-explosion
-information

Question 2

bit
byte is ____
kilobyte ____
megabyte ___
gigabyte ____
terabyte____
petabyte ___

Answer 2

8 bits
1,000 bytes
>1mill bytes
> 1 bill bytes
> q trill bytes
> 1000 terabytes

Question 3

The scale of “big” in big data:
big data operated data larger than _____

Answer 3

Gigabyte

Question 4

From a statistical perspective, big data means:

Answer 4

1. large number of observation (N)
2. large number of variables (K)

Question 5

examples of big data:

Answer 5

1. the internet
   -browsing pages
   -social media
2. large, digital corps
   - mountains of transactional data
   -who bought it and why
3. from paper to electronics
   -corporate filings. public records
4. the future
   -sensors

Question 6

big data is so large and complex that its difficult to process using on-hand data base management tools or traditional data processing applications. What needs to change?

Answer 6

• the mindset
• the technology
  -the analysis

Question 7

Data mining is more __________ than other forms of analytics

Answer 7

• exploratory
  -letting the computers lead the way to looks for interesting findings
  -can be used for raw, unstructured data

Question 8

Big data and society. Three roles:

Answer 8

• role of individual
  -corporation
  -government

Question 9

five principles of data analytics

Answer 9

1. ownership: an individual has ownership over their personal information
2. Transparency: in addition to owning their personal info, data subjects have a right to know how you plan to collect, store, and use it
3. Privacy: Another ethical responsibility that comes with handling data is ensuring data subjects privacy
4. intention: intentions matter. why you need info, what you’ll gain from it, and what changes you’ll be able to make after analysis
5. outcomes: even when intentions are good, the outcomes of data analysis can cause inadvertent and unintentional harm to individuals or groups

Question 10

5 V’s of big data

Answer 10

• volume: size and amounts of big data
  -veracity: the accuracy
  -velocity: the speed
• value: (most important) pattern recognition
  -variety: diversity and range including unstructured, semi and raw data