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Hey team! I'm working in building a new dbt project on our snowflake datawarehouse. The idea is to improve how models are built, and the data architecture overall. One of the things I believe will take us some time is re-arranging all the existing metabase questions and migrating them from old models to the new ones. Anyone has faced this challenge before? If not, what do you thing would be the best way to do it?

I've recently been looking into SQLMesh and wondering if anyone has any project experience and can comment on how it compares to dbt core in practice. Also if you've another transformation tool feel free to share your experience.

All of us are at different parts of the journey. What part of Data Engineering are you most focused on this year & why?

Hi guys, I‘m a student learning about data engineering and building projects to get some internships in the field of data engineering. I just finished a warehouse architecture overview and I‘m not quite sure whether I‘m on the right track or not. Is anyone experienced and willing to review the architecture and give some feedback? I would really appreciate it :)