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What is the main purpose of organizing data into zones like raw, processed, and curated in a data lake?

easy📝 Conceptual Q11 of 15
Hadoop - Modern Data Architecture with Hadoop
What is the main purpose of organizing data into zones like raw, processed, and curated in a data lake?
ATo increase the size of the data lake
BTo keep data clean, easy to find, and ready for analysis
CTo make data harder to access
DTo reduce the number of users accessing data
Step-by-Step Solution
Solution:

  1. Step 1: Understand the role of data zones

    Raw, processed, and curated zones help organize data by its state and quality.

  2. Step 2: Identify the benefit of this organization

    This organization keeps data clean, easy to find, and ready for analysis.

  3. Final Answer:

    To keep data clean, easy to find, and ready for analysis -> Option B

  4. Quick Check:

    Data zones improve data usability = A [OK]
Quick Trick: Think about why clean data helps analysis fast [OK]
Common Mistakes:
  • Confusing size increase with organization benefits
  • Assuming data zones restrict access
  • Thinking zones reduce user numbers

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