Real-Time Data Infrastructure for Adaptive Learning Platforms

Our enterprise, a leader in the Education & EdTech industry, is focused on revolutionizing the educational experience through adaptive learning technologies. To achieve this, we are seeking to develop a real-time data infrastructure that will enhance our capacity to process and analyze student data instantaneously. This project will involve the integration of cutting-edge technologies such as Apache Kafka for event streaming, Spark for distributed data processing, and Airflow for orchestration. We plan to leverage data warehousing solutions like Snowflake or BigQuery alongside transformation tools like dbt to create a robust data pipeline that supports real-time analytics and machine learning operations (MLOps). The project will empower our platform to tailor educational content dynamically, thereby improving educational outcomes and student satisfaction. The data infrastructure must be efficient, scalable, and maintain high data observability to ensure continuous improvement and transparency.