List Some Use Cases Where Spark Outperforms Hadoop In Processing.?

1.	List Some Use Cases Where Spark Outperforms Hadoop In Processing.?
Answer» Sensor Data Processing –Apache Spark’s ‘In-memory computing’ works best here, as data is RETRIEVED and combined from different sources. Spark is preferred over Hadoop for real TIME querying of data Stream Processing – For processing logs and detecting frauds in live STREAMS for alerts, Apache Spark is the best SOLUTION.

Answer»

Sensor Data Processing –Apache Spark’s ‘In-memory computing’ works best here, as data is RETRIEVED and combined from different sources.
Spark is preferred over Hadoop for real TIME querying of data
Stream Processing – For processing logs and detecting frauds in live STREAMS for alerts, Apache Spark is the best SOLUTION.

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