CHAPTER 14: BIG DATA ANALYTICS AND NOSQL

Question 1

1.	Much ambiguity exists in defining Big Data.

Answer

true

Question 2

2.	For a data set to be considered Big Data, it must display all the “3 Vs” – volume, velocity and variety.

Answer

true

Question 3

3.	Scaling out is keeping the same number of systems, but migrating each system to a larger one.

Answer

true

Question 4

4.	In many ways, the issues of associated with volume and velocity are the same.

Answer

true

Question 5

5.	The analysis of data to produce actionable results is feedback loop processing.

Answer

true

Question 6

6.	Relational databases rely on unstructured data.

Answer

true

Question 7

7.	One tenet of Big Data is that all data that is capable of being captured should be.

Answer

true

Question 8

8.	The ability to graphically data in a way that makes it understandable is the concept of value.

Answer

true

Question 9

9.	Characteristics that are important in working with data in the relational database model also apply to Big Data.

Answer

true

Question 10

10.	Hadoop is a database that has become the de facto standard for most Big Data storage and processing.

Answer

true

Question 11

11.	Under the HDFS system, using a write-one, ready-many model simplifies concurrency issues.

Answer

true

Question 12

12.	A block report is used to let the name node know that the data mode is still available.

Answer

true

Question 13

13.	A reduce function takes a collection of key-value pairs with the same key value and summarizes them into a single result.

Answer

true

Question 14

14.	Hive is a good choice for jobs that require a small subset of data to be returned very quickly.

Answer

true

Question 15

15.	Hadoop is a high-level tool that requires little effort to create, manage and use.

Answer

true

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