Data Engineering on Microsoft Azure - Azure for DE: 38 - Transforming data with dbt

Hey data engineers! Databricks notebooks aren't the only way to transform your data. In the latest episode of my free DP-203 course, I discuss dbt - a widely used data transformation solution that offers several advantages over Databricks: • Simplicity and ease of use • Data lineage • Automatically generated and maintained documentation • Data quality tests • Jinja templating language ▬▬▬▬▬▬ IMPORTANT LINKS ▬▬▬▬▬▬ My LinkedIn profile: https://www.linkedin.com/in/piotr-tybulewicz-81a8793/ GitHub with my drawings: https://github.com/TybulOnAzure/DP-203 dbt Developer Hub: https://docs.getdbt.com/ dbt Cloud pricing plans: https://www.getdbt.com/pricing Quickstart for dbt Cloud and Databricks: https://docs.getdbt.com/guides/databricks ▬▬▬▬▬▬ MEMBERSHIP ▬▬▬▬▬▬ Join this channel to get access to perks: https://www.youtube.com/channel/UCLnXq-Fr-6rAsCitq9nYiGg/join ▬▬▬▬▬▬ CHAPTERS ▬▬▬▬▬▬ 00:00 Introduction 00:28 Where does it fit? 08:28 Demos 45:29 Licensing 46:26 Summary