Real-Time Analytics Platform for Personalized Travel Recommendations

As a growing startup in the travel agency industry, we recognize the increasing demand for personalized experiences among travelers. Our project involves developing a real-time analytics platform capable of processing vast amounts of data to offer customized travel recommendations. Utilizing technologies like Apache Kafka for event streaming and Spark for real-time data processing, our goal is to create a seamless and dynamic travel planning experience for users. By integrating dbt and Airflow, we aim to ensure robust data pipelines and orchestration, while Snowflake and BigQuery will handle our storage and analytics requirements efficiently. This platform will analyze user data derived from various sources, such as browsing history, past bookings, and social media activity, to provide travel agents with actionable insights. The project is critical for maintaining competitiveness and meeting modern customer expectations, and we anticipate completing it within a 4-6 week timeframe.