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Large Scale Health Data Monitering With Databricks

A wearable healthcare company was generating massive high-frequency data in Azure Blob Storage, tracking metrics like heart rate, respiration, oxygen levels, and activity every minute.

healthband er diagram

Scope:

  • Instantly alert users when heart rate crossed thresholds.
  • Send personalized notifications and celebrate user milestones.
  • Warn users of dangerously low oxygen levels.

Approach:

  • Leveraged scheduled Databricks notebooks to process terabytes of incoming data and deliver near real-time alerts.
  • Performed aggregated analytics (daily/weekly) and stored results in PostgreSQL for rapid access to frequently used metrics.

Outcome:

  • 95% of abnormal readings detected in real-time.
  • Significantly decreased query times for common metrics.
  • Scalable solution capable of handling terabytes of high-frequency data.

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