Big data analytics and data science role

Question 1

What are the 5 v’s?

Answer 1

Volume
Velocity
variety
Value
Veracity

Question 2

What does Veracity mean?

Answer 2

willingness to believe data is good

Question 3

What are the 2 types of data?

Answer 3

Meta and para

Question 4

What does metadata mean?

Answer 4

minimum you should know about the data

Question 5

What does paradata mean?

Answer 5

how has the data been processed

Question 6

What are the 4 data structures?

Answer 6

structured
semi-structured
quasi-structured
unstructured

Question 7

what are the data repositories?

Answer 7

data islands
data warehouses
analytic sandbox

Question 8

what is a data island?

Answer 8

isolated datamarts. record keeping in spreadsheets and low volume DBMS

Question 9

what is a data warehouse?

Answer 9

centralised data repository. Supports BI and reporting

Question 10

what is an analytic sandbox?

Answer 10

assets from multiple sources ready for analysis

Question 11

What are the three big data project success factors?

Answer 11

timely decision making
processing throughout
flexibility

Question 12

what three ways does an analytic sandbox support big data success factors?

Answer 12

provides high performance analysis
ingests data from different sources
owned by the DS rather than IT

Question 13

What are the business drivers of big data/data science?

Answer 13

optimise business processes
predict new business opportunities
mitigate business risk
meet legal and regulatory requirements

Question 14

what are the four parts of the big data ecosystem?

Answer 14

data devices
data collectors
data aggregators
data users/buyers

Question 15

what are data devices in the big data ecosystem

Answer 15

they continuously gather data about the world (phones)

Question 16

what are data collectors in the big data ecosystem

Answer 16

interact with many organisations and institutions. Provides them with information to access their services

Question 17

what are data aggregators in the big data ecosystem

Answer 17

take data from multiple sources and combine and enrich them to provide data to consumers

Question 18

what are data users/buyers in the big data ecosystem

Answer 18

users consume data from their own sensor net and data collector along with data acquired from data aggregators to help form data decision making

Question 19

which is in the past and which is in the future?

Answer 19

BI - the past

DS - the future

Question 20

What are the 4 key roles within DS?

Answer 20

analytical talent
data savvy professionals
technology enablers
knowledge engineers

Question 21

what does a knowledge engineer do?

Answer 21

wrangle the data ready for projects to consume

Question 22

what are the 5 things a data scientist should be?

Answer 22

quantitative - do math
curious and creative
technical - code
skeptical - question
communicate and collaborate

Question 23

what are the 3 original V words?

Answer 23

Volume
Variety
Velocity

Question 24

Describe semi-structured data?

Answer 24

XML (Coding)

Question 25

Describe Quasi- structured data?

Answer 25

web clickstream

Question 26

Big data uses ELT what does it mean?

Answer 26

extract load transform

Question 27

what is a data savvy professional?

Answer 27

intro of understanding of DS

Question 28

what is an analytical talent?

Answer 28

training in quantitative methods

Question 29

what is a technology enabler?

Answer 29

looks at hardware and software