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Mastering data engineering with Databricks tools
Effective Databricks projects use modular code structures, keeping notebooks as thin orchestration layers and placing transformations in Python modules. This approach enhances testability, reusability ...
Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...
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