Chapter 7 - Big Data Concepts and Tools

Question 1

What is Big Data?

Answer 1

The exponential growth, availability, and use of information, both structured and unstructured.

Question 2

What are the V’s that Define Big Data? (3+3)

Answer 2

Volume
Variety
Velocity

Veracity
Variability
Value Proposition

Question 3

What are the Critical Success Factors for Big Data Analytics? (7)

Answer 3

1. A Clear Business Need
2. Strong, Committed Sponsorship (Executive Champion)
3. Alignment between the Business and IT Strategy
4. A Fact-Based Decision-Making Culture
5. A Strong Data Infrastructure
6. The Right Analytics Tools
7. Personnel with Advanced Analytical Skills

Question 4

What is a Data Warehouse?

Answer 4

A large collection of data and databases used for reporting and data analysis.

Question 5

What is Stream Analytics?

Answer 5

The analytic process of extracting actionable information from continuously flowing/streaming data.

Question 6

What is Stream Analytics vs. Perpetual Analytics?

Answer 6

Streaming analytics applies transaction logic to all incoming transactions against previous observations that occurred within a prescribed window, whereas perpetual analytics evaluates every incoming observation against all prior observations.

Question 7

What is Critical Event Processing?

Answer 7

Critical Event Processing is a method of capturing, tracking, and analyzing streams of data to detect events (out of normal happenings) of certain types that are worthy of the effort.

Question 8

What is Data Stream Mining?

Answer 8

The process of extracting novel patterns and knowledge structures from continuous, rapid data records.