Using Trino for your data transformations workshop

Think you can only tackle your ETL transformations with Spark? Think again! While you may be used to performing data transformations via Python or Scala, the truth is you can still perform this same work with SQL. Many still think of Trino strictly as an ad-hoc analytics engine, but companies large and small utilize Trino as their ETL engine of choice. In this hands-on workshop, Monica Miller, Senior Developer Advocate at Starburst, walks you through SQL’s history and rising popularity as the new status quo for transforming your data. She busts the intertwined myths that SQL can’t be used for data transformations and that other engines are a better choice for ETL or long-running workloads than Trino.

Follow along the lab guide. The lab credentials will be open until July 31st, 2024. If you have any questions, please feel free to contact monica.miller@starburstdata.com.