dbt-iomete 1.8.1

The Apache Spark (IOMETE) adapter plugin for dbt

   

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.

dbt-iomete

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

This adapter is forked from the dbt-spark

Getting started

Installation

pip install dbt-iomete

Alternatively, you can install the package from GitHub with:

pip install "git+https://github.com/iomete/iomete-integrations.git#subdirectory=dbt-iomete"

Profile Setup

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

For more information, consult the docs.