pandas and PySpark: Behind the Scenes
Explore how Pandas and PySpark differ in system resource usage during data loading. Understand Pandas' single-CPU and high memory use versus PySpark's efficient multi-CPU processing and memory management. Learn how Spark handles large data by loading metadata and optimizes resource use when saving data with repartitioning and sorting.
System monitor in normal state
Let’s take a closer look at loading data using pandas or Pyspark with respect to hardware or operating systems. The image below represents the state of CPU and RAM when the computer is up and running, and we haven’tt started any data analysis tasks. As we can see below, the CPU utilization is significantly less, and ...