KimboryN
A web-based system to track restaurant, dessert, and travel place suggestions, making it easy to manage and prioritize visits.
Building a Real-Time Data Tracking System
The goal of this project is to create a scalable, real-time platform to track and manage restaurant, dessert, and travel recommendations. This project allows practicing data engineering skills while providing a practical solution for tracking shared suggestions between users and making them actionable.
Real-Time Data Ingestion
Leveraging Apache Kafka to handle real-time ingestion of restaurant and travel suggestions, ensuring data is processed immediately as it is added.
Efficient Querying
Using Trino to provide fast querying capabilities, enabling users to easily retrieve recommendations by category, location, or priority.
Scalable Architecture
Designed to scale with Apache Iceberg, allowing the system to handle growing data volumes with partitioning and sorting for optimized queries.
Get in Touch
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