Explanation:Spark provides easy-to-use APIs for operating on large datasets. 9. Spark is engineered from the bottom-up for performance, running ___________ faster than Hadoop by exploiting in memory computing and other optimizations.
A. 100x
B. 150x
C. 200x
D. None of the mentioned
Answer:A
Explanation:Spark provides easy-to-use APIs for operating on large datasets. 9. Spark is engineered from the bottom-up for performance, running ___________ faster than Hadoop by exploiting in memory computing and other optimizations.
A. 100x B. 150x C. 200x D. None of the mentioned
Explanation:Spark is fast on disk too; it currently holds the world record in large scale on-disk sorting. 10. Spark powers a stack of high-level tools including Spark SQL, MLlib for :