NATIS Lakehouse Fundamentals
Explore the NATIS UI, create a catalog, load sample data, and run your first Spark SQL queries in a live environment.
Browser-based interactive labs with real NATIS environments. No setup, no installs, just learn by doing.
Explore the NATIS UI, create a catalog, load sample data, and run your first Spark SQL queries in a live environment.
Practice INSERT, UPDATE, MERGE, DELETE, and time-travel on Delta tables. See ACID guarantees in action.
Run SQL analytics on sample retail data: JOINs, window functions, aggregations, and semantic layer queries.
Ingest simulated IoT events from Kafka into Delta Lake with schema validation and deduplication.
Configure dbt models, staging and marts, run tests, and generate documentation on NATIS.
Set up catalog hierarchy, assign RBAC permissions, configure row-level filtering, and audit access.
Train a fraud model, track experiments with MLflow, register the best model, and deploy to REST endpoint.
Build deployment automation for NATIS jobs and notebooks using Terraform + GitHub Actions.
Diagnose slow queries, optimize cluster sizing, use Delta caching, and implement Z-ordering.
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