This repository contains the code and examples for my article on Medium, which introduces the transform and aggregate functions in Apache Spark. You can read the full article here:
Introduction to Aggregate and Transform Functions in Apache Spark
This article explores how to use transform and aggregate functions in Apache Spark for powerful data transformations. Key topics covered include:
- Transform Functions in Spark: Learn how to use transform functions to apply row-wise operations on Spark DataFrames.
- Aggregate Functions in Spark: Understand how to use aggregate functions to perform group-wise aggregations in Spark.
- Implementing Transform and Aggregate Functions: Step-by-step examples of how to use these functions in PySpark for real-world data processing tasks.
The code in this repository allows you to follow along with the examples in the article and provides hands-on experience in using transform and aggregate functions for data processing in Apache Spark.