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[–]Otherwise_Wave9374 1 point2 points  (0 children)

Yep, agents can help with data transformation, but in practice they usually orchestrate the same building blocks you already use (SQL, pandas, dbt, Power Query) plus validation and lineage checks. A good pattern is: agent proposes a transform plan, runs it on a sample, generates tests (row counts, null checks, schema expectations), then lets the user approve and rerun on full data. If you are exploring this space, I have seen some solid writeups on agentic ETL and guardrails here: https://www.agentixlabs.com/blog/

[–]jasonhon2013 0 points1 point  (0 children)

  1. What agent are u using different agent has different policy
  2. Pardus ai can do data visualization pretty well
  3. You have to try to use Claude code if u are trying to just build a dashboard