Deck 9: Big Data, Cloud Computing, and Location Analytics: Concepts and Tool

Question 1

Cloud computing originates from a reference to the Internet as a "cloud" and is a combination of several information technology components as services.

Answer 1

True

Question 2

MapReduce can be easily understood by skilled programmers due to its procedural nature.

Answer 2

True

Question 3

Hadoop was designed to handle petabytes and extabytes of data distributed over multiple nodes in parallel.

Answer 3

True

Question 4

In most cases, Hadoop is used to replace data warehouses.

Question 5

Openshift is Google's cloud application platform based on a PaaS model.

Question 6

The direction of the industry over the next few years will likely be moving toward more tightly coupled Hadoop and relational DBMS-based data warehouse technologies.

Question 7

Managers should be more concerned that data is stored in a structured data warehouse or a Hadoop cluster, and less about the actually the insights that can be derived from the data.

Question 8

The analytics layer of the Big Data stack is experiencing what type of development currently?

A) significant development
B) limited development
C) no development/stagnant
D) no development/reject as being non-important

Question 9

In what ways can communications companies use geospatial analysis to harness their data effectively?

Question 10

Define MapReduce.

Question 11

Why are some portions of tape backup workloads being redirected to Hadoop clusters today?

Question 12

What are the differences between stream analytics and perpetual analytics? When would you use one or the other?