You want to design a Lambda architecture system that handles sensor data arriving every second and also stores monthly summaries. Which layers should you use and why?

hard📝 Application Q8 of 15

Hadoop - Modern Data Architecture with Hadoop

AUse speed layer for real-time sensor data and batch layer for monthly summaries

BUse batch layer for real-time data and speed layer for monthly summaries

CUse only batch layer for all data

DUse only speed layer for all data

Step-by-Step Solution

Solution:

Step 1: Identify real-time data handling
Sensor data every second requires fast processing, so speed layer fits.
Step 2: Identify batch processing for summaries
Monthly summaries need batch processing of large historical data.
Final Answer:
Use speed layer for real-time sensor data and batch layer for monthly summaries -> Option A
Quick Check:
Speed = real-time, Batch = summaries [OK]

Quick Trick: Speed for fast data, batch for big summaries [OK]

Common Mistakes:

Reversing layer roles
Using only one layer
Ignoring data frequency differences

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You want to design a Lambda architecture system that handles sensor data arriving every second and also stores monthly summaries. Which layers should you use and why?

Step 1: Identify real-time data handling

Step 2: Identify batch processing for summaries

Final Answer:

Quick Check:

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