{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/df80d9f9ba2a4dd883dde6f0585d4a4a\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/df80d9f9ba2a4dd883dde6f0585d4a4a-521cfd5d3ab29cd4.gif","duration":273.046,"title":"Treno Data Lake Demo with Trino UI","description":"This Loom demos setting up Trino as a data lake end to end. It starts from a repository defining Trino services, including an NSC pipeline runner that computes a customer profile from customer banking data by transforming logic from the SQL statements. Using Docker Compose, it brings up components, loads a “silver” layer with 1000 rows for normal customers and about 50,000 rows for transactions, then runs the pipeline to create “gold” layer customer profiles, spending, and high value customers. The UI is used to visualize layer sizes, pipeline dependencies, data catalog sources, and ingestion into storage backed by MinIO and packet files, with executions shown in the workflow UI."}