If you’ve worked with Apache Spark, you’ve likely written transformations like filter(), map(), or select() and wondered, “How does Spark actually execute this under the hood?” The answer lies in logical and physical plans — two key steps Spark uses to turn your code into distributed computation efficiently. Understanding this will help you optimize performance... Continue Reading →