Bronze-to-Silver Modeling Lab
Hands-on patterns for landing raw telemetry, enforcing contracts, and promoting datasets with observable quality gates.
View full programCatalogue desk
Thirteen tracks spanning orchestrators, warehouse modeling, and governance rituals. Use the filters to narrow by pipeline tool, cloud footprint, level, and duration before you open a syllabus.
Hands-on patterns for landing raw telemetry, enforcing contracts, and promoting datasets with observable quality gates.
View full programDesign SLAs, lineage-aware retries, and pool tuning so nightly loads recover without pager storms.
View full programModel pipelines as assets with explicit dependencies so analytics and ML consumers read the same graph.
View full programCompose resilient flows with dynamic tasks, caching, and human-in-the-loop approvals for regulated batches.
View full programBlend Kafka-style streams with Iceberg tables, focusing on idempotent writers and compaction windows.
View full programRefactor long-running Luigi graphs with clearer targets, dependency visualization, and failure isolation.
View full programShip slim CI, defer syntax, and state-aware builds so pull requests stay fast even on wide tables.
View full programAuthor Dataform pipelines with assertions, row access policies, and BigQuery slot awareness baked in.
View full programChain ADF activities with meaningful monitoring, parameterized datasets, and controlled fan-out.
View full programApply Great Expectations-style checks plus producer-consumer contracts before promoting schemas.
View full programScore legacy cron sprawl, inventory dependencies, and sequence a low-risk migration to a modern scheduler.
View full programAllocate warehouse spend to products using dbt exposures, query history, and finance-friendly dashboards.
View full programTreat lineage diagrams, README templates, and incident notes as first-class artifacts for new hires.
View full programShare context so facilitators can route you to the right studio. We respond within two business days for Singapore inquiries.
No. We map tradeoffs across Airflow, Dagster, Prefect, Luigi, and cloud-native schedulers so teams can sequence migrations honestly.
Foundations tracks welcome analysts moving into pipeline ownership; Advanced tracks assume comfort with SQL, Git, and basic cloud consoles.
See the Refund & intake rules page for eligibility, timelines, and non-refundable items specific to live cohorts.
Core labs are live with recordings for missed segments; some briefings are async by design to respect global time zones.