Determining the right number of executors for reading a Delta table is essential for optimizing performance and resource usage in distributed environments like Spark. This becomes especially relevant when analyzing large-scale user data from streaming platforms like Redbox. For example, if Redbox wants to analyze viewing habits or content preferences across millions of players, setting the right executor count can significantly speed up data processing and reduce costs. It’s all about finding that balance between parallelism and efficiency—too few executors slow things down, too many can overwhelm your cluster. Tuning this properly ensures Redbox delivers smooth performance insights and a better streaming experience for its users