BCOR 2205 MIDTERM UPDATED ACTUAL QUESTIONS
AND CORRECT ANSWERS
Question:
1. Data
Answer:
Raw facts and figures that needs processing to be useful
Question:
2. Information
Answer:
Processed, structured data that answers "what happened"
Question:
3. Business Intelligence
Answer:
Insights generated from analyzed data that supports business decisions with
analytics and trends
Question:
4. Knowledge
Answer:
Experience, expertise, and intuition that guides streaky and decision making
through applied wisdom.
Question:
5. Big Data
Answer:
Collection of large, complex data sets which cannot be analyzed using traditional
database methods and tools
Question:
6. Why is big data different from little data
Answer:
Scalability and processing models
, Question:
7. Scalability
Answer:
Traditional databases require vertical scaling however big data uses horizontal
scaling for better performance and fault tolerance
Question:
8. Processing Models
Answer:
Traditional databases rely on structured query languages and transactional
models which are not optimized for large scale distributed computing. Big data
processing uses frameworks that enable distributed storage and parallel
processing
Question:
9. 5 Vs of Big Data
Answer:
Volume, Velocity, Variety, Veracity, Value
Question:
10. Volume
Answer:
Amount of data generated every second, minute, and day
Question:
11. Velocity
Answer:
Speed of handling data, how fast its being received and processed
Question:
12. Variety
Answer:
Different formats of data; if lot of it is unstructured and needs to be further
processed to structure it properly
Question:
13. Veracity
Answer:
Degree to which the big data can be trusted/its accuracy
AND CORRECT ANSWERS
Question:
1. Data
Answer:
Raw facts and figures that needs processing to be useful
Question:
2. Information
Answer:
Processed, structured data that answers "what happened"
Question:
3. Business Intelligence
Answer:
Insights generated from analyzed data that supports business decisions with
analytics and trends
Question:
4. Knowledge
Answer:
Experience, expertise, and intuition that guides streaky and decision making
through applied wisdom.
Question:
5. Big Data
Answer:
Collection of large, complex data sets which cannot be analyzed using traditional
database methods and tools
Question:
6. Why is big data different from little data
Answer:
Scalability and processing models
, Question:
7. Scalability
Answer:
Traditional databases require vertical scaling however big data uses horizontal
scaling for better performance and fault tolerance
Question:
8. Processing Models
Answer:
Traditional databases rely on structured query languages and transactional
models which are not optimized for large scale distributed computing. Big data
processing uses frameworks that enable distributed storage and parallel
processing
Question:
9. 5 Vs of Big Data
Answer:
Volume, Velocity, Variety, Veracity, Value
Question:
10. Volume
Answer:
Amount of data generated every second, minute, and day
Question:
11. Velocity
Answer:
Speed of handling data, how fast its being received and processed
Question:
12. Variety
Answer:
Different formats of data; if lot of it is unstructured and needs to be further
processed to structure it properly
Question:
13. Veracity
Answer:
Degree to which the big data can be trusted/its accuracy
