What is the current impact of big data and Hadoop on enterprise data centers?

Question

Options

• AHadoop is a new technology, and most enterprises are waiting to implement it until larger
• BMost companies have successfully implemented Hadoop already; you will find the most promising
• CHalf of enterprise customers have implemented Hadoop, but most still experience issues, partially
• DMost companies have found that Hadoop is less effective for handling big data; they prefer open-

• A
  4% (2)
• B
  6% (3)
• C
  88% (42)
• D
  2% (1)

Explanation

Option C reflects the real-world adoption curve: Hadoop has been around long enough that roughly half of enterprises have deployed it, yet many still struggle with challenges like complexity, skills gaps, and integration with legacy systems - making full, smooth implementation the exception rather than the rule.

Why the distractors are wrong:

• A is incorrect because Hadoop is not new (it has been in enterprise use since the late 2000s), so "waiting to implement" misrepresents where the market actually stands.
• B overstates success - widespread, successful implementation is not the norm; most organizations face ongoing operational difficulties.
• D contradicts reality; Hadoop remains a leading open-source framework for big data, and there is no broad shift away from it toward something else described as "open-."

Memory tip: Think of Hadoop adoption like a halfway-done renovation - half the enterprise "house" has been built (implemented), but contractors (IT teams) keep running into unexpected problems mid-project. "Half implemented, half struggling" = C.

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