Consider the Big-Data processing systems Spark, Spark Streaming and Flink.
Taking into account their semantics, fault-tolerance handling and input management, in order to achieve low latency even in the presence of faults, identify the true comparative assessments about them from the following.
(select all the correct options).

Question

Consider the Big-Data processing systems Spark, Spark Streaming and Flink. 
 Taking into account their semantics, fault-tolerance handling and input management, in order to achieve low latency even in the presence of faults, identify the true comparative assessments about them from the following. 
 (select all the correct options).

Answer

Flink, Spark and Spark Streaming allow correlating input from multiple streams.

Answer

Compared to Flink, Spark Streaming allows faster recovery by checkpointing computation state.

Answer

Flink is able to discard delayed events while Spark Streaming cannot.

Answer

Flink is able to process all input exactly-once, while Spark and Spark Streaming cannot.

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Consider the Big-Data processing systems Spark, Spark Streaming and Flink. Tak...

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