PySpark — Top 5 Optimization Techniques

If you are working as a PySpark or Python developer in any Data Engineering stack on a very huge data process then Optimizing PySpark jobs is crucial for improving performance and efficiency.

Understanding when to apply transformations and actions correctly is crucial for optimizing Spark jobs, reducing unnecessary computations, and improving overall performance.