The Web and Big Data

Question 1

Describe Web 1.0 (The Web of contents)

Answer 1

-Created 1989 by Time Berners-Lee
-Created as a way to facilitate information exchange among colleagues
-“Read only” web
-Limited user participation
-Static information only

Question 2

Describe Web 2.0 (The “Read-write” web)

Answer 2

-Live journal and Blogger were created in 1999 and contributed to the development of a web based on interactions.
-The rise of social media

Question 3

Describe Web 3.0 (The semantic web)

Answer 3

-Decentralisation: data stored in data-bases and protected by blockchain technology
-Permissionless: no more need to give info to 3rd parties (cookies)
-AI & Semantics: Improved capacity of elaborating and understanding data.
-Ubiquity: IOT and smart devices wil enhance connectivity.

Question 4

Describe Web 4.0 & 5.0

Answer 4

• 4.0 web is the web of wireless connectivity (mobile). It will improve the applications of Web 2.0 and 3.0
  -The web 5.0 is called the “symbotic Web” allowing human-computer interactions based on emotions

Question 5

How is data important to companies?

Answer 5

1. Better prediction of consumer needs
2. More efficient production
3. More value
4. Improve decision-making
5. Risk management
6. Provides a competitive advantage

Question 6

Define Big Data

Answer 6

data that contains greater variety, arriving in increasing volumes with more velocity. AKA the three V’s.

Question 7

What are the 3 V’s?

Answer 7

-Volume
-Velocity
-Variety

Question 8

Define Volume

Answer 8

High volume of low density, unstrucutred data

Question 9

Define Velocity

Answer 9

The fast rate at which data is recevied & acted on.

Question 10

Define Variety

Answer 10

The types of data that are available eg text, video audios and images etc.

Question 11

What are the two more V’s?

Answer 11

-Value
-Veracity

Question 12

Define Value

Answer 12

Data has intrinsic value. But it’s of no use until that value is discovered.

Question 13

Define Veracity

Answer 13

Can you trust your data?

Question 14

Define Data

Answer 14

The unstructured collection of facts

Question 15

What is information?

Answer 15

Information puts data into context. When data is analysed and interpreted, it becomes information.

Question 16

What are some characteristics of the Web 3.0?

Answer 16

-Validated by the community
-Personalised interaction
-Intelligent search (AI)
-Behavioural advertising
-Understanding of semantics

Question 17

Define Big Data analytics

Answer 17

The collecting, processing, cleaning, and analysis of large data sets to help organisations operationalise their big data.

Question 18

What are the steps to make sense of big data?

Answer 18

Collect, Process, Clean and analyse.

Question 19

What does it mean to collect big data?

Answer 19

Collect unstructured data from a variety of sources—from cloud storage to mobile applications, etc.

Question 20

What does it mean to process big data?

Answer 20

Data must be organised properly to get accurate results in analytical queries, especially when it is large and unstructured.

Question 21

What does it mean to clean big data?

Answer 21

All data must be formatted correctly, and any duplicated or irrelevant data must be eliminated or accounted for.

Question 22

What does it mean to analyse big data?

Answer 22

To find patterns, make predicitions and find insights.

Question 23

What are the three methods of big data analytics?

Answer 23

-Data mining
-Predicitive analysis
-Deep learning

Question 24

Define Data mining

Answer 24

Sorts through large data sets to identify patterns and relationships by identifying anomolies and creating data clusters.

Question 25

Define Deep learning

Answer 25

Imitating human learning patterns by using AI and machine learning to layer algorithms and find patterns

Question 26

Define predicitive analysis

Answer 26

Using historical data to make predictions about the future and identify upcoming risks and opportunities