Real-Time Data Infrastructure Implementation for Enhanced Dental Care Insights

In the rapidly evolving dental care industry, the ability to harness data effectively is crucial for providing superior patient services and maintaining operational excellence. This project aims to design and implement a robust real-time data infrastructure that integrates multiple data sources — including patient records, treatment outcomes, and operational metrics — into a cohesive analytics platform. By leveraging technologies such as Apache Kafka for event streaming and Databricks for real-time analytics, the project will enable the dental organization to access timely and accurate insights. The use of Apache Airflow and dbt will facilitate the orchestration and transformation of data workflows, ensuring data quality and consistency. Snowflake and BigQuery will serve as the backbone for scalable data storage and processing. The ultimate goal is to support data-driven decision-making processes that enhance patient care, reduce operational costs, and drive innovation in treatments and services. This initiative will not only improve patient satisfaction but also bolster competitive positioning in the market.