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What is Big Data Analysis of ECommerce Transactions about?
The assignment focuses on analyzing e-commerce transaction data using Hadoop and Spark to derive business insights such as revenue patterns and customer preferences. It involves generating synthetic transaction data, storing it in HDFS, processing it with PySpark, and visualizing the results. Key insights include identifying top revenue categories, peak booking hours, and potential fraud detection, demonstrating the effectiveness of Hadoop and Spark in handling large datasets.
- Author
- Mohana Shree
- Language
- EN