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dbt review
Harshwardhan Gullapalli
AI Engineer at a educational organization with 51-200 employees
Data pipelines have improved financial accuracy and now build transparent...
As for something I wish we had, dbt's native support for Python transformations came later, and we did some complex financial classification calculations that felt clunky in pure SQL. We ended up writing Python in our n8n workflows and then fed the results back into dbt, which created a bit of a split-brain situation. If we would have had...
dbt review
Ahmed Shaaban
Principal Data Engineer at Integrant, Inc.
Data teams have streamlined code-driven pipelines and now collaborate faster on...
We are still experimenting with testing, but not that much. We are not using some features yet. We are trying to introduce them because we are coming from a background of SSIS. The team used to work with SSIS, Microsoft SQL Server Integration Services. We are still adapting one feature at a time. Currently, we are working with the SQL...
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