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When should I use Trino?

Trino is a SQL query engine built for ad-hoc and interactive analytics. But when is going to shine and perfectly fit your needs? It excels at data federation, unifying access to all of your different data sources. It excels even more at querying data lakehouses, including the Icehouse (https://www.starburst.io/blog/icehous..., handling massive amounts of data. And you can change your cluster to fault-tolerant execution mode to handle batch ETL and ELT workloads, eliminating the need to use a separate engine for this type of work. How data federation works: https://www.starburst.io/blog/how-doe... Trino as a data lakehouse:    • Keynote: Trino as Data Lakehouse   Fault-tolerant execution: https://trino.io/docs/current/install... Starburst Galaxy, the quickest and easiest way to get started with Trino: https://www.starburst.io/platform/sta... Timestamps: 0:00 Intro 0:19 Ad-hoc and interactive analytics 1:14 Data federation 2:35 Trino on the lakehouse 3:24 Batch ELT/ETL processing 4:26 Summarizing #trino #apachetrino #starburst #datalakehouse #opendatalakehouse #etl #dataengineering #etlprocessing #batchprocessing #sqlqueries #dataanalytics