[Solved] Why does Lambda architecture use both batch and speed layers instead of only one? — Ans: To balance latency and accuracy by combining fast and comprehensive processing | Hadoop

Hadoop - Modern Data Architecture with Hadoop

Why does Lambda architecture use both batch and speed layers instead of only one?

ATo balance latency and accuracy by combining fast and comprehensive processing

BBecause batch layer is faster than speed layer

CTo avoid using any serving layer

DBecause speed layer stores all data permanently

Step-by-Step Solution

Solution:

Step 1: Understand latency vs accuracy
Speed layer provides low latency but approximate results; batch layer provides accurate but slower results.
Step 2: Reason why both layers are needed
Combining both balances fast response and correctness.
Final Answer:
To balance latency and accuracy by combining fast and comprehensive processing -> Option A
Quick Check:
Lambda = speed + batch for latency & accuracy [OK]

Quick Trick: Combine speed and batch for best results [OK]

Common Mistakes:

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Why does Lambda architecture use both batch and speed layers instead of only one?