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The Apache Spark (IOMETE) adapter plugin for dbt

Project description

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dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis.


The dbt-iomete package contains all the code enabling dbt to work with iomete.

This adapter is forked from the dbt-spark

Getting started


pip install dbt-iomete

Alternatively, you can install the package from GitHub with:

pip install git+

Profile Setup

  target: dev
      type: iomete
      host: <host>
      port: 443
      https: true # or http
      lakehouse: <serverless_lakehouse_name>
      schema: <database_name>
      user: "{{ env_var('DBT_IOMETE_USER_NAME') }}"
      token: "{{ env_var('DBT_IOMETE_TOKEN') }}"

For more information, consult the docs.

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