How does automating and implementing data processing contribute to the overall efficiency of data ingestion?

Question

Options

• AAutomating processing hampers data accuracy.
• BImplementing data processing increases data redundancy.
• CAutomation eliminates human intervention, ensuring consistency.
• DIt slows down the data ingestion process significantly.

• A
  7% (3)
• B
  5% (2)
• C
  88% (36)

Explanation

Automating data processing (C) removes the need for manual steps, which eliminates human error and ensures every dataset is handled the same way - this consistency is the core efficiency gain in data ingestion pipelines. Option A is the opposite of reality; automation typically improves accuracy by reducing human mistakes. Option B confuses the concept - data processing reduces redundancy (e.g., deduplication), not increases it. Option D is also backwards; automation speeds up ingestion by running processes continuously without human bottlenecks.

Memory tip: Think of automation as a factory assembly line - once configured, it runs identically every time, no breaks, no variation. "Consistency = Efficiency" is the key phrase to anchor option C.

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