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How can you combine Lambda architecture with machine learning to improve predictions on streaming data?

hard📝 Application Q9 of 15
Hadoop - Modern Data Architecture with Hadoop
How can you combine Lambda architecture with machine learning to improve predictions on streaming data?
ATrain models only on speed layer data
BTrain models on batch data and update predictions with speed layer results
CUse batch layer to predict and ignore speed layer
DApply machine learning only after data is fully processed
Step-by-Step Solution
Solution:
  1. Step 1: Understand model training

    Batch layer provides large historical data for training accurate models.
  2. Step 2: Use speed layer for updates

    Speed layer updates predictions quickly with new streaming data.
  3. Final Answer:

    Train models on batch data and update predictions with speed layer results -> Option B
  4. Quick Check:

    Batch trains, speed updates predictions [OK]
Quick Trick: Train batch, update speed for ML [OK]
Common Mistakes:
  • Training only on speed data
  • Ignoring speed layer updates
  • Delaying ML until all data processed

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