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Qupid Tutorials

Welcome to the Qupid Tutorial Center.
This section provides structured, practical guides to help you learn and operate Qupid’s data quality and observability platform. Each tutorial is clear, actionable, and tailored to real-world workflows.

Whether you’re a new user or an advanced engineer, these tutorials guide you from basic observer setup to full data monitoring, lineage visualization, and BI integration.

Tutorial Tracks​

🚀 Beginner Tutorials – Getting Started​

Perfect for new users learning the essentials of Qupid.

  • Connect Your First Data Source – Set up your first connection and explore your data.
  • Create Your First Observer – Build static, SQL, or ML observers to monitor your datasets.
  • Monitor Observer Results – Review run summaries, test results, and alerts for your first datasets.

These tutorials provide step-by-step guidance to help you understand the core workflows and start monitoring data quality effectively.

🛠 Core Workflows​

For users regularly operating in Qupid.

  • Build advanced observers (static, custom SQL, ML-based)
  • Manage Spaces for domain-level monitoring and team collaboration
  • Analyze health scores, trends, and aggregated metrics

📊 Advanced Tutorials – Deep Dive​

For users who have mastered the basics and want to unlock the full potential of Qupid.

Explorer Deep Dive​

  • Navigate the Sources list using advanced filters and search
  • Explore Table Health, Table Profile, and Runs Summary
  • Visualize Lineage to understand dependencies and data flow
  • Detect anomalies with Anomaly Detection
  • Use Suggestions to optimize your data quality checks
  • Run SQL directly via Run Query for deeper investigations

Spaces Deep Dive​

  • Organize datasets, dashboards, and observers into logical workspaces
  • Apply Space-level filters, metrics aggregation, and quality insights
  • Enable cross-team collaboration and structured data domains

Incidents Deep Dive​

  • Understand how incidents are triggered by observers
  • Navigate the Incidents list and apply advanced filters
  • Investigate detailed timelines, root causes, and recurring issues
  • Use acknowledgment, assignment, and resolution workflows effectively

BI Discovery Deep Dive​

  • Connect BI tools like Superset, Power BI, Tableau, or Looker
  • Monitor dashboards, charts, and linked datasets
  • Track dashboard coverage, quality trends, and top failing dashboards
  • Identify upstream data issues impacting BI reports
  • Link BI insights with incidents for end-to-end monitoring

🔗 Lineage & Integration​

For engineering teams integrating Qupid into their ecosystem.

  • Visualize table lineage and dependencies
  • Integrate with Airflow, dbt, Spark, and other pipelines
  • Use metadata and lineage to enhance observability

⚙️ Advanced Topics​

For platform engineers and advanced users.

  • Write custom SQL-based rules
  • Configure ML-based observers
  • Automate alerts and notifications

What’s Included in Each Tutorial​

Each tutorial provides:

  • 🎯 Learning objectives
  • 📝 Prerequisites
  • 🧩 Step-by-step instructions
  • 📸 Screenshots and examples
  • 💡 Troubleshooting tips
  • 🔗 References to related documentation

All tutorials are validated on a clean Qupid instance to ensure accuracy.

Getting Started​

If you’re new to Qupid, start with:

  1. Getting Started: Connect Your First Source & Create an Observer
  2. Data Quality Monitoring with Spaces

These foundational tutorials ensure you understand the platform and start monitoring your datasets efficiently.

Happy Data-Quality Work 🚀