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...
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