[Nr.10]

Quote:

Instead of storing intermediate data after a computation into on-disk storage such as HDFS,
these data can be stored "fault tolerantly" in-memory.

The ability to store intermediate data in-memory
across multiple nodes is one of the reasons
why Spark is able to execute faster than Hadoop's MapReduce.

BRON
_{mrt 2016}