In a Lambda architecture, if the batch layer updates data every 24 hours and the speed layer processes data every second, what is the best way to ensure the serving layer shows the most accurate and up-to-date results?

hard📝 Application Q15 of 15

Hadoop - Modern Data Architecture with Hadoop

AUse the speed layer results immediately and replace them with batch results after 24 hours

BOnly show batch layer results to avoid inconsistency

CIgnore speed layer and rely on batch layer for all queries

DMerge speed and batch results continuously, updating serving layer with combined data

Step-by-Step Solution

Solution:

Step 1: Understand serving layer role
The serving layer combines batch and speed layer outputs to provide accurate and timely results.
Step 2: Evaluate options
Merge speed and batch results continuously, updating serving layer with combined data merges both results continuously, ensuring the serving layer is both up-to-date and accurate.
Final Answer:
Merge speed and batch results continuously, updating serving layer with combined data -> Option D
Quick Check:
Serving layer = combined batch + speed data [OK]

Quick Trick: Serving layer merges batch and speed data continuously [OK]

Common Mistakes:

Using only speed or batch layer results alone
Replacing speed results abruptly without merging
Ignoring serving layer's combining role

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In a Lambda architecture, if the batch layer updates data every 24 hours and the speed layer processes data every second, what is the best way to ensure the serving layer shows the most accurate and up-to-date results?

Step 1: Understand serving layer role

Step 2: Evaluate options

Final Answer:

Quick Check:

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