[Solved] Why does data lake architecture centralize data in one place? — Ans: To store all types of data together for easy access and analysis | Hadoop

Hadoop - Modern Data Architecture with Hadoop

Why does data lake architecture centralize data in one place?

ATo limit data access to only one user

BTo separate data by type in different locations

CTo store all types of data together for easy access and analysis

DTo reduce the amount of data stored

Step-by-Step Solution

Solution:

Step 1: Understand the purpose of data lake centralization
Data lakes centralize data to keep all types of data in one place, making it easier to manage and analyze.
Step 2: Compare options with this purpose
Only To store all types of data together for easy access and analysis correctly states that centralization is for storing all data types together for easy access and analysis.
Final Answer:
To store all types of data together for easy access and analysis -> Option C
Quick Check:
Centralization means one place for all data = A [OK]

Quick Trick: Centralized means all data in one place for easy use [OK]

Common Mistakes:

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