Hadoop - Modern Data Architecture with Hadoop
Given a Hadoop data lake storing raw and processed data, what is the main reason for centralizing all data in one place?
Given a Hadoop data lake storing raw and processed data, what is the main reason for centralizing all data in one place?
medium📝 Predict Output Q4 of 15
Step-by-Step Solution
Solution:
Step 1: Analyze the effect of centralization on duplication
Centralizing data reduces copies and inconsistencies by having one source of truth.Step 2: Understand governance benefits
One location makes it easier to apply policies and control data access.Final Answer:
To reduce data duplication and improve data governance -> Option DQuick Check:
Centralization reduces duplication and aids governance [OK]
Quick Trick: Centralization cuts duplication, boosts governance [OK]
Common Mistakes:
- Thinking centralization fragments data
- Believing it limits access to IT only
- Assuming it slows retrieval
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