Which of the following options best describes the differences between a traditional data warehouse
environment and a Hadoop environment?

A.
Traditional data warehousing environments are mostly ideal for analyzing structured data from
various systems, while a Hadoop environment is well suited to deal with structured, semi-structured,
and unstructured data, as well as when a data discovery process is needed.

B.
Hadoop environments are mostly ideal for analyzing structured and semi-structured data from a
single system, while traditional data warehousing environment is well suited to deal with
unstructured data, as well as when a data discovery process is needed.

C.
Typically, data stored in Hadoop environments is cleaned up before storing in the distributed filesystem.

D.
Typically, data stored in data warehousing environments is rarely filtered and pre-processed. On
the other hand, data injected into Hadoop environments is always pre-processed and filtered.