PySpark Foundations: Process, analyze, and summarize data

Did you know that a billion records are processed daily in PySpark by companies worldwide? As big data is on the rise, you’ll need tools like PySpark to process massive amounts of data. This guided project was designed to introduce data analysts and data science beginners to data analysis in PySpark. By the end of this 2-hour-long guided project, you’ll create a Jupyter Notebook that processes, analyzes, and summarizes data using PySpark. Specifically, you will set up a PySpark environment, explore and clean large data, aggregate and summarize data, and visualize data using real-life examples…