Real-Time Analytics Pipeline Implementation for Enhanced Tourism Campaigns

As a fast-growing player in the tourism marketing space, we aim to optimize our campaign performance through state-of-the-art data engineering solutions. The objective is to set up a robust real-time analytics pipeline that streams live data from various sources, processes it efficiently, and provides actionable insights to our marketing teams. The successful implementation would involve technologies such as Apache Kafka for event streaming, Spark for large-scale data processing, and Airflow for orchestrating workflows. The data will be integrated and stored using Snowflake and BigQuery, with Databricks used for advanced data analysis. This project will enhance our ability to swiftly adjust marketing strategies based on real-time data, ensuring increased engagement and ROI on campaigns. A focus on data mesh architecture and MLOps will further enable seamless scaling and operational efficiency.