Big Data Analysis using Apache Spark

Overview

This project focuses on analyzing large-scale datasets using Apache Spark. The objective was to understand how distributed data processing works and to perform transformations and aggregations efficiently using Spark.

Tools & Technologies

• Apache Spark
• PySpark
• Python
• Big Data Processing Concepts

What I Did

• Loaded large datasets using Spark
• Applied transformations such as filtering, grouping, and aggregations
• Used Spark DataFrames for analysis
• Optimized basic workflows for performance understanding

Learning Outcomes

• Practical understanding of distributed data processing
• Working with Spark DataFrames and transformations
• Handling large datasets beyond single-machine processing

Note

This project is part of my learning journey in Big Data and Spark.