Why is centralizing data in a Hadoop data lake considered better than traditional siloed storage for big data projects?

hard📝 Conceptual Q10 of 15

Hadoop - Modern Data Architecture with Hadoop

ABecause it provides a unified data repository that supports diverse data types and flexible analytics

BBecause it limits data access to only one team to avoid confusion

CBecause it requires data to be structured before storage

DBecause it stores data in multiple isolated systems for security

Step-by-Step Solution

Solution:

Step 1: Compare centralized vs siloed storage
Siloed storage keeps data separated, limiting combined analysis and flexibility.
Step 2: Understand benefits of unified repository
Centralized data lakes hold all data types together, enabling flexible and powerful analytics.
Final Answer:
Because it provides a unified data repository that supports diverse data types and flexible analytics -> Option A
Quick Check:
Unified repository supports diverse data and analytics [OK]

Quick Trick: Unified data lakes beat silos for big data [OK]

Common Mistakes:

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