Why spark uses lazy evaluation?

1.	Why spark uses lazy evaluation?
Answer» SPARK uses Lazy Evaluation because of the following reasons: It increases the manageability of the program by dividing it into SMALLER operations, thereby reducing the number of PASSES on the data by grouping operations. It increases the speed and saves computational and calculational overhead by computing only necessary values. It reduces complexities in any program by allowing USERS to work with an infinite data structure while drastically reducing time and space overheads. It optimizes the program by reducing the number of queries being run.

Answer»

SPARK uses Lazy Evaluation because of the following reasons:

It increases the manageability of the program by dividing it into SMALLER operations, thereby reducing the number of PASSES on the data by grouping operations.
It increases the speed and saves computational and calculational overhead by computing only necessary values.
It reduces complexities in any program by allowing USERS to work with an infinite data structure while drastically reducing time and space overheads.
It optimizes the program by reducing the number of queries being run.

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