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AWS Food Delivery Stream
Problem:
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Food delivery data needs to be processed in real-time to provide immediate insights into order trends, delivery times, and customer preferences.
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Solution:
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Data Ingestion - Ingested JSON order data streams into AWS Kinesis.
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Data Processing - Processed the data using AWS EMR.
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Data Storage - Inserted processed data into AWS Redshift.
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System Architecture
Data:
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Dimension - contains the info like Customer Name, Drivers, and Restaurants
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Fact - generated fake JSON order data
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Order_Id, Customer_Id, Order_Date, Order_Value, Order_Status ...
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Video Walkthrough
This video walkthrough covers the real-time data pipeline for ingesting food delivery order data into AWS Kinesis, processing it with AWS EMR, and storing the results in AWS Redshift. ​
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Conclusion
Working on this project enhanced my understanding of AWS services and their integration for real-time data processing. The practical experience of ingesting and processing food delivery data streams demonstrated the scalability and reliability of cloud-based solutions. This project is a testament to how real-time analytics can be leveraged to improve operational efficiency and customer satisfaction in the food delivery industry. It underlines the importance of real-time data processing in making informed, timely decisions in dynamic business environments.