Big Data Analytics (I)

Question 1

Multiple of bytes of Big Data

Answer 1

Exabyte (1000^6): Enough rice to fill the West Coast states
Zettabyte (1000^7): Enough rice to fill the pacific ocean

Question 2

Challenges of Data Explosion

Answer 2

1. processing capabilities
2. storage
3. networking and architecture

Question 3

What is Big Data?

Answer 3

The data is characterised by 3 attributes: Volume, Variety, Velocity

Question 4

Characteristics of Big Data 1

Answer 4

Volume: Reflects the size of the data
-> Leveraging large data sets to enable informed decision-making effectively

Question 5

Characteristics of Big Data 2

Answer 5

Variety: represent the diversity of the data
Structured data + Semi-structured data + Unstructured data (80%)

Question 6

Characteristics of Big Data 3

Answer 6

Velocity: The speed at which data is generated and used
New age communication channels such as mobile phones, emails, social networking has increased the rate of information flows

Question 7

NoSQL

Answer 7

-Non-relational database for massive unstructured data
-Scale well horizontally

Question 8

Hadoop

Answer 8

Open-source data storage and processing platform

Question 9

What is Hadoop good for?

Answer 9

1. Large data sets & cheap scaling
2. Fast parallel data processing
3. Data from multiple sources/formats

Question 10

Advantages of Hadoop

Answer 10

1. Flexibility
2. Scalability
3. Cost effectiveness
4. Fault tolerance

Question 11

Data Visualisation

Answer 11

A quick, easy way to convey concepts in a universal manner -> enable decision makers to see analytics presented visually, so they ca grasp difficult concepts or identify new patterns

Question 12

Big Data and Business

Answer 12

1. Accessibility to Data
2. Decision Making
3. Marketing Trends
4. Performance Improvement
5. New business models/services