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Dev.to
7/23/2026
The original title is "Building and Deploying a Data Observability Dashboard on Databricks Apps"

The original title is "Building and Deploying a Data Observability Dashboard on Databricks Apps"

Original: Building and Deploying a Data Observability Dashboard on Databricks Apps

Short summary

A hands-on walkthrough for building and deploying a minimal data observability dashboard on Databricks Apps using Streamlit, pandas, and Plotly. The author open-sourced the full project so readers can clone, fork, and adapt it. The dashboard tracks completeness, timeliness, uniqueness, and overall health KPIs using simulated data, with clear guidance on swapping in real Delta tables or SQL warehouses.

  • •Step-by-step guide to deploying a Streamlit data-quality dashboard on Databricks Apps via Git
  • •Open-source repo provided for cloning and adaptation
  • •Covers KPI tiles for health, completeness, timeliness, and uniqueness with simulated data

Generated with AI, which can make mistakes.

#open-source#ai-tools
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