This paper examines the revolutionary possibilities of combining Apache Spark for real-time streaming analytics with cloud-based technologies, particularly AWS and Databricks. Using identity and access management (IAM) and encryption techniques, utilizing Databricks’ Lakehouse architecture with Unity Catalog improves data governance and security.

This approach tackles issues, including traditional data processing systems’ latency, fragmented data pipelines, and compliance issues. Scalable, high-performance analytics pipelines are made possible by AWS’s reliable infrastructure and Apache Spark’s distributed computing. HIPAA and other strict healthcare compliance regulations are met by the Unity Catalog, which guarantees safe, unified data access.