Why spark uses lazy evaluation?

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.