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What is the main idea behind the Kappa architecture in data processing?

easy📝 Conceptual Q11 of 15
Hadoop - Modern Data Architecture with Hadoop

What is the main idea behind the Kappa architecture in data processing?

AStore data in batches and process later
BProcess data only once as a continuous stream
CUse separate systems for batch and streaming data
DProcess data multiple times for accuracy
Step-by-Step Solution
Solution:

  1. Step 1: Understand Kappa architecture concept

    Kappa architecture focuses on processing data as a stream only once, avoiding batch processing.

  2. Step 2: Compare with other architectures

    Unlike Lambda architecture, Kappa does not separate batch and streaming layers.

  3. Final Answer:

    Process data only once as a continuous stream -> Option B

  4. Quick Check:

    Kappa = single stream processing [OK]
Quick Trick: Kappa means one stream, one processing path [OK]
Common Mistakes:
  • Confusing Kappa with Lambda architecture
  • Thinking Kappa uses batch processing
  • Assuming multiple processing passes

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