Data pipelines, views & data products

Think Trino can’t do ETL? Think again! In this session, build SQL-based data pipelines utilizing data that not only lives in your data lake, but also data that resides in your surrounding orbit. Learn how to create views and materialized views, and then clean, optimize, and transform your data into curated datasets, known as data products. Finally, govern and secure those data products as a finalized package project for your downstream consumers.

Follow along with this lab guide. If you’d like to do this lab on your own, reach out to lester.martin@starburstdata.com.

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