dbt, Snowflake, Airflow, and the tools powering modern analytics engineering.
Learn how modern companies build scalable data systems using specialized tools that work together. From data sources to dashboards, understand each layer and choose the right tools for your organization.
Master advanced dbt patterns including incremental models, sophisticated testing strategies, and production deployment workflows. Transform your warehouse into a mature software development environment.
Learn the architectural differences, pricing models, and performance characteristics of the three major cloud data warehouses. Practical guidance for choosing the right platform for your analytics workload.
Learn when to use dimensional modeling's star schemas versus modern One Big Table approaches for analytical data. Compare both methods with hands-on examples using real e-commerce and SaaS data.
Learn to sync clean warehouse data back to Salesforce, Intercom, and other business tools. Build production-ready pipelines with incremental syncing, error handling, and comprehensive monitoring.
Master the fundamental choice between streaming and batch processing. Learn when each approach works best and how to build hybrid systems that combine both for optimal results.