Real-Time Data Pipeline for Enhanced Mobile User Engagement

In the rapidly evolving mobile app development industry, understanding user behavior in real-time is crucial to enhancing user engagement and satisfaction. Our enterprise company is embarking on a project to create a sophisticated real-time data pipeline using advanced technologies such as Apache Kafka, Spark, and Airflow. The goal is to collect, process, and analyze vast amounts of user interaction data in real-time to provide actionable insights and personalized experiences. The project will also incorporate data mesh principles to ensure decentralized data architecture, promoting agility and scalability. Key objectives include deploying event streaming capabilities to capture live user events, integrating MLOps practices to streamline machine learning model deployment, and implementing data observability to monitor data quality and pipeline performance. This initiative will transform our data infrastructure, providing our teams with the tools they need to make data-driven decisions that drive user retention and app engagement.