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/activateNote: when you useconda, you need the extra step ofconda deactivateto avoid conflict between thecondaandvenv - Install kedro
pip install kedro==0.18.3 - Run
kedro new -s <name-of-the-starter>
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