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Spark - Interview Questions
What is the difference between Apache Spark Vs Hadoop?
Features Spark Hadoop
Data processing Part of Hadoop, hence batch processing Batch Processing even for high volumes
Streaming Engine Apache spark streaming - micro-batches Map-Reduce
Data Flow Direct Acyclic Graph-DAG Map-Reduce
Computation Model Collect and process Map-Reduce batch-oriented model
Performance Slow due to batch processing Slow due to batch processing
Memory Management Automatic memory management in the latest release Dynamic and static - Configurable
Fault Tolerance Recovery available without extra code Highly fault-tolerant due to Map-Reduce
Scalability Highly scalable - spark Cluster(8000 Nodes) Highly scalable - Produces a large number of nodes
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