Explanation:Pig Latin, in essence, is designed to fill the gap between the declarative style of SQL and the low-level procedural style of MapReduce. 9. _______ jobs are optimized for scalability but not latency.
A. Mapreduce
B. Drill
C. Oozie
D. Hive
Answer:A
Explanation:Pig Latin, in essence, is designed to fill the gap between the declarative style of SQL and the low-level procedural style of MapReduce. 9. _______ jobs are optimized for scalability but not latency.
A. Mapreduce B. Drill C. Oozie D. Hive
Explanation:Hive Queries are translated to MapReduce jobs to exploit the scalability of MapReduce. 10. ______ is a framework for performing remote procedure calls and data serialization.