Starters for kedro projects to simplify pipelines deployment using GetInData plugins

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Kedro starters by GetInData

In GetInData we deploy Kedro-based projects to different environments (on-premise and cloud). This repository hosts the starters with a few deployment recipes, including the ones that use our plugins.

Available starters

pyspark-iris-running-on-gke uses Google Kubernetes Engine to run Spark-powered kedro pipeline in a distributed manner.
pyspark-iris-running-on-gcp-dataproc-serverless uses Google Cloud Dataproc Batches to run Spark-powered kedro pipeline in a distributed manner on Severless Spark.

Starters development

Clone the repository and switch to develop
Run poetry install
Run source $(poetry env info --path)/bin/activate Note: when you use conda, you need the extra step of conda deactivate to avoid conflict between the conda and venv
Install kedro pip install kedro==0.18.3
Run kedro new -s <name-of-the-starter>

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This version

0.2.0

Dec 19, 2022

0.1.2

Nov 16, 2022

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