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Built a data pipeline to analyze IPL data using Apache Spark, focusing on writing transformation functions for efficient data processing.

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IPL Data Analysis Project with Apache Spark

Overview

This project analyzes IPL (Indian Premier League) cricket data by building a data pipeline using Apache Spark. The focus is on writing transformation logic with Spark, performing SQL-based data analysis, and visualizing insights. The IPL dataset is stored on Amazon S3, and Databricks is used as the development environment to run the Apache Spark code.

Dataset source: IPL Data till 2017

Workflow

Workflow

Key Features

  • Data Storage: IPL dataset uploaded and managed on Amazon S3 (Simple Storage Service).
  • Data Processing: Apache Spark used to read and transform the dataset.
  • SQL Analytics: SQL queries written to analyze IPL data and uncover trends.
  • Visualization: Visualizations created to derive insights from the processed data.

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Built a data pipeline to analyze IPL data using Apache Spark, focusing on writing transformation functions for efficient data processing.

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