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Which key principle differentiates the Kappa architecture from traditional Lambda architecture in data processing?

easy📝 Conceptual Q1 of 15
Hadoop - Modern Data Architecture with Hadoop

Which key principle differentiates the Kappa architecture from traditional Lambda architecture in data processing?

AStoring data only in relational databases for analytics
BUsing separate batch and speed layers for data processing
CRelying exclusively on batch processing for data accuracy
DProcessing all data as a continuous stream without a separate batch layer
Step-by-Step Solution
Solution:
  1. Step 1: Understand Lambda architecture

    Lambda uses separate batch and speed layers to process data.
  2. Step 2: Identify Kappa's approach

    Kappa simplifies by processing all data as a stream, eliminating batch layer.
  3. Final Answer:

    Processing all data as a continuous stream without a separate batch layer -> Option D
  4. Quick Check:

    Kappa avoids batch layer [OK]
Quick Trick: Kappa uses one streaming pipeline, no batch layer [OK]
Common Mistakes:
  • Confusing Kappa with Lambda architecture
  • Assuming batch processing is part of Kappa
  • Thinking Kappa requires relational DBs only

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