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Hadoopdata~5 mins

Lambda architecture (batch + streaming) in Hadoop - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the main goal of Lambda architecture?
To process large amounts of data by combining batch processing for accuracy and streaming processing for low latency.
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beginner
Name the three layers of Lambda architecture.
Batch layer, speed (streaming) layer, and serving layer.
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beginner
What does the batch layer do in Lambda architecture?
It stores all the raw data and computes batch views to provide accurate and comprehensive results.
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beginner
Why is the speed layer important in Lambda architecture?
It processes data in real-time to provide quick updates and low-latency views, complementing the batch layer.
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intermediate
How does the serving layer function in Lambda architecture?
It merges batch views and real-time views to answer queries with both accuracy and freshness.
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Which layer in Lambda architecture handles real-time data processing?
ABatch layer
BStorage layer
CSpeed layer
DServing layer
What is the main responsibility of the batch layer?
AServe queries to users
BStore raw data and compute batch views
CProcess streaming data
DClean data before processing
In Lambda architecture, which layer combines batch and real-time views?
AServing layer
BBatch layer
CSpeed layer
DProcessing layer
Why do we need both batch and speed layers in Lambda architecture?
ATo balance accuracy and latency
BTo reduce storage costs
CTo simplify data pipelines
DTo avoid using Hadoop
Which technology is commonly used for batch processing in Lambda architecture?
AApache Kafka
BApache Storm
CApache Flink
DApache Hadoop
Explain the roles of the batch, speed, and serving layers in Lambda architecture.
Think about accuracy, speed, and how results are combined.
You got /3 concepts.
    Describe why Lambda architecture uses both batch and streaming processing instead of just one.
    Consider the trade-off between speed and accuracy.
    You got /3 concepts.