Quiz: Optimizing PySpark DataFrame Operations
Explore how to enhance PySpark DataFrame efficiency by analyzing and optimizing code involving filtering, aggregation, and customer order analysis using NYC restaurant data. This lesson helps you understand practical methods to reduce unnecessary computations while achieving accurate results.
We'll cover the following...
We'll cover the following...
Task 1: Review and analyze existing code
- Create a
SparkSessionobject and load theorders.csvdataset. - Execute the code snippet to ensure