Installing PySpark on Windows: A Step-by-Step Guide

Apache Spark is a powerful open-source distributed computing system that provides fast and general-purpose cluster-computing frameworks for big data processing. PySpark, the Python API for Apache Spark, allows developers to harness the capabilities of Spark using Python programming language. While PySpark is commonly used in a Linux environment, installing it on a Windows machine can be a bit challenging. In this blog post, we will walk you through the steps to successfully install PySpark on a Windows system.

Step 1 - Install JDK

Step 2 - Install Spark

Step 3 - Install Python

Step 4 - Install pyspark, JupyterLab

Step 5 - Launch JupyterLab and use PySpark

Step 6 - Test PySpark Installation

Note: Open Jupiter Lab

Reference: PySpark Tutorial for Beginners - YouTube

🔗 GitHub Repository: https://github.com/coder2j/pyspark-tu...