How to Build a Modern Data Platform: Dagster+ Demo with Asset Health Monitoring & Team Workflows
Join Christian Minich, Sales Engineering Lead at Dagster Labs, for a comprehensive demo of Dagster Plus - the integrated DataOps platform that's revolutionizing how data teams build, monitor, and collaborate on data pipelines.
What You'll Learn:
Self-serve observability with asset health monitoring, freshness SLAs, and data quality checks
Rapid pipeline development using Python and YAML components
Multi-team collaboration with isolated code locations and role-based access controls
Legacy system integration and migration strategies
Branch deployments for safe testing and CI/CD workflows
Key Features Demonstrated:
✅ Single pane of glass for all data assets (tables, models, ML models, BI reports)
✅ Global asset graph for complete data lineage
✅ Smart alerting (Slack, email, Teams, PagerDuty)
✅ Data engineering SLA metrics and time-to-recovery tracking
✅ Built-in data catalog with static and operational metadata
✅ Components system for YAML-based pipeline creation
✅ Integration with DBT, Power BI, Airflow, Azure Data Factory, and more
✅ Serverless and hybrid deployment options
Timestamps:
00:00 Introduction to Dagster & Dagster Plus
01:00 Self-Serve Observability Dashboard
04:00 Asset Health & Data Quality Monitoring
07:00 Global Asset Graph & Impact Analysis
08:00 Alerting & Notification System
09:00 Data Platform Insights & Metrics
12:00 Data Catalog Features
13:00 Developer Experience & Rapid Pipeline Building
15:00 Components & YAML Interface
20:00 Branch Deployments & Testing
22:00 Multi-Team Collaboration
26:00 Deployment Architecture (Serverless vs Hybrid)
28:00 Legacy Platform Integration
32:00 Recap & Key Takeaways
Perfect for data engineers, platform teams, and data leaders looking to modernize their data stack with enterprise-grade orchestration, observability, and collaboration features.
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