W1

Question 1

Big Data is usually described according to what 3 V’s and what other 2 v’s

Answer 1

a) Volume, Velocity, Variety b)Veracity & Value

Question 2

What does Volume mean?

Answer 2

Terabytes, records, transitions, tables, files

Question 3

What does Variety mean?

Answer 3

Structured or unstructured, multi-factor, probabilistic

Question 4

What does velocity mean?

Answer 4

Batch, real/near time, processes, streams

Question 5

What does value mean?

Answer 5

statisticla, events, correlation, hypothetical

Question 6

What does veracity mean?

Answer 6

trustworthiness, authenticy, origin, reputation, availability, accountability.

Question 7

What are 9 concepts for big data

Answer 7

Big data is”

• challenging to manage
• can be impactful
• changing how we live our lives
• changing how companies compete
• should be importatnt to strategy
• can be complex
• by itself doesn’t create value
• can create value if analyzed and acted on

Question 8

how is big data generated?

Answer 8

by living our personal and corporate lives

Question 9

is big data traditional or non-traditional

Answer 9

non-traditional

Question 10

What does big data require in general in terms of technology to manage and apply it.

Answer 10

requires innovations in teh to manage and apply it.

Question 11

big data is already created by who?

Answer 11

someone other than us

Question 12

is big data always straightforward or can it be misleading?

Answer 12

misleading

Question 13

What are the 3 types of data structures ? (describe and give examples)

Answer 13

Structured
Data is organized in a tabular format at the field level
Eg. Spreadsheets and data base tables
Unstructured
The structure is unknown
Eg. Images, audio, video,
Multi-structured
The structure includes a combination of tabular, hierarchical, tagged, other and unknown
Eg. Emails and Twitter feeds contain some known fields such as the From and To parties combined with unstructured text

Question 14

what’s the percentage of structured vs unstrucuted data?

Answer 14

80% unstructured

20% structured

Question 15

What are the 5 differences between structured and unstructured data.

Answer 15

Structured: can be displayed in rows, columns and relational databased

• numbers, dates and strings
• estimated 20% of structured data,
• requires less storage
• easier to manage and protect with legcy solutions.

Unstrucutred data - can’t be displayed in rows or columns and relational databases,
-includes images, audio, video, emails, spreadsheets
-estimated 80% of enterprise data
-requires more storage
-more difficultto manage and protect with legacy solutions
,

Question 16

What are the two types of big data sources?

Answer 16

internal vs external

Question 17

Name some areas where big data makes an impact

Answer 17

list out some examples - see slide

Question 18

what are some sectors using big data analytics

Answer 18

see slide