Session 1

Question 1

Big Data (1997)

Answer 1

“Data sets are generally quite large, taxing the capacities of main memory, local disk, and even remote disk, we call this the problem of big data”

Question 2

What characterizes Big Data?

Answer 2

• Volume
• Velocity
• Variety
• Veracity

Question 3

MapReduce

Answer 3

Distributed computing paradigm

Question 4

Different types of analytics

Answer 4

• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics

Question 5

Descriptive Analytics

Answer 5

What happened?

Provide insight into the data, so that one can better understand what data to collect and store and provide insight into ways to improve future models.

Visualization, Clustering, Summary Statistics

Question 6

Diagnostic Analytics

Answer 6

Why did it happen?

provide insight into the data, so that one can better understand what data to collect and store and
provide insight into ways to improve future models.

Causal Analysis, Simulation

Question 7

Predictive Analytics

Answer 7

What will happen?

is building a model to predict when something will
happen

Prediction, Machine Learning

Question 8

Prescriptive Analytics

Answer 8

How can we make it happen?

automates action to be taken based on prediction

Optimization, Planning, Automation

Question 9

Descriptive / Diagnostic Analytics - Tasks

Answer 9

• Data visualization
• Clustering
• Co-occurrence grouping

Question 10

Predictive Analytics

Answer 10

• Classification
• Regression
• Link prediction

Question 11

Prescriptive Analytics

Answer 11

• Uplift Modeling

- Automation