What is one trend that is driving customers to implement Hadoop?

Question

Options

• Athe development of SQL databases
• Bthe shift toward systems of record
• Cthe proliferation of unstructured data
• Dthe expansion of structured data

• A
  4% (1)
• C
  96% (23)

Explanation

Proliferation of unstructured data (C) is the key driver because Hadoop was specifically designed to store and process massive volumes of unstructured or semi-structured data - logs, social media, video, sensor output - that traditional relational databases cannot handle cost-effectively at scale.

Why the distractors are wrong:

• A (SQL databases): SQL databases are traditional, structured-data tools that actually predate and compete with Hadoop; their development didn't create demand for Hadoop.
• B (systems of record): Systems of record (ERP, CRM, transactional databases) deal with structured, governed data - the opposite of Hadoop's sweet spot.
• D (expansion of structured data): Structured data fits neatly into relational databases; it's the unstructured explosion (not structured) that SQL systems couldn't handle, pushing organizations toward Hadoop.

Memory tip: Think "Hadoop = messy data at massive scale." The rise of social media, IoT, and clickstreams created an avalanche of unstructured data that had nowhere to go - Hadoop filled that gap.

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