Explores translation inefficiencies, optimizations, hoisting functions, closure conversion, and dataflow analysis concepts like available expressions and live variables.
Discusses advanced Spark optimization techniques for managing big data efficiently, focusing on parallelization, shuffle operations, and memory management.
