Introduction to Dashboarding

Grafana Setup and Azure PostgreSQL Connection

Pipeline Health Dashboard

Data Quality Dashboard

Presenting Metrics and Definitions

Practice

Assignment

Gotchas & Pitfalls

Week 11 Lesson Plan (Teachers)

Introduction to Dashboarding

Content coming soon...

Suggested Topics

• Why dashboards matter: making data visible, actionable, and accessible to stakeholders
• Operational dashboards vs analytical dashboards: monitoring vs insights
• The dashboard as the last mile of the data pipeline
• Common dashboard tools: Grafana, Metabase, Looker, Power BI, Tableau
• Why Grafana: open source, SQL-native, strong time-series support, alerting
• Dashboard design principles: clarity, focus, appropriate chart types, no clutter
• The connection between data modeling (Week 10) and dashboard queries
• What makes a good metric: measurable, defined, actionable, time-bound
• What makes a good metric definition: name, description, calculation method, data source, and refresh frequency. Students will need this when building panels in chapters 3-4.

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