Data Infrastructure Modernization for Enhanced Real-Time Learning Analytics

As a leader in the Educational Technology industry, our company identifies the critical need to transform our existing data infrastructure to better serve our extensive user base. The project focuses on adopting a data mesh architecture, designed to decentralize our data management and enhance real-time capabilities. Key components include implementing Apache Kafka for robust event streaming, utilizing Spark for real-time data processing, and employing Snowflake for scalable data warehousing. The initiative will also incorporate MLOps practices to ensure efficient model deployment and data observability tools for maintaining data quality. This transformation seeks to deliver personalized learning experiences by providing educators and learners with real-time insights into user progress and areas needing improvement. The project duration is estimated at 16-24 weeks, aligning with the need to balance current operational demands with strategic innovation.