Healthcare Data Warehouse Platform
We built an event-driven Google Cloud data warehouse. CDC, Pub/Sub, and BigQuery separated analytics from transactional systems. Database downtime ended, and data latency reached about one minute across 60+ hospitals.
Meditap needed a scalable platform for 60+ private hospitals in Indonesia. Analytics ran on the primary database, causing 3–5 outages daily. A 3–5 person data team needed near real-time reporting, consistent distributed data, safe historical migration, governance, and continuous ingestion.
Healthcare Data Warehouse Platform
The platform is layered and event-driven. PostgreSQL and SQL Server are sources. Debezium captures changes through log-based CDC and streams them through Pub/Sub. BigQuery stores raw data, while Airflow orchestrates ETL. A custom UI compiles YAML configurations into DAGs. Dataset-level IAM controls access. Each layer can scale and fail independently.
CDC replaced batch ingestion to make data available in about one minute. A template-driven Airflow platform removes manual DAG coding. Non-engineers can operate pipelines. BigQuery provides serverless analytics with low infrastructure overhead. The tradeoff is less room for custom pipeline logic.
Debezium provides reliable change tracking. Pub/Sub decouples ingestion. The warehouse separates raw, processed, and reporting-ready data. Platform validation blocks bad configurations before DAG generation. Near real-time ingestion pairs with batch transformations for aggregation.
Eliminated primary database downtime, previously 3–5 outages daily.
Reduced report generation from minutes to seconds.
Reached about one-minute data latency.
Enabled a 3–5 person team to run the full pipeline ecosystem.
Deployed and operated 100+ pipelines through the platform.
About one-minute data freshness without overloading source systems.
Pipelines created through the platform without code.
100+ pipelines managed through reusable templates.
Transactional and analytical workloads decoupled to remove contention.
Dataset-level IAM provides role-based access.
Applicable to high-volume transactional systems that need real-time analytics without risking operations. It fits healthcare, fintech, and multi-tenant enterprise environments.
We specialize in ai integration and dedicated team for healthcare companies. If you're facing challenges like the ones we solved for Meditap, let's talk.
