# Kedro starters by GetInData
In [GetInData](https://getindata.com/) 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](https://github.com/search?q=topic%3Akedro-plugin+org%3Agetindata+fork%3Atrue&type=repositories).
## Available starters
* [pyspark-iris-running-on-gke](getindata_kedro_starters/pyspark-iris-running-on-gke/README.md) uses Google Kubernetes Engine to run Spark-powered kedro pipeline in a distributed manner.
* [pyspark-iris-running-on-gcp-dataproc-serverless](getindata_kedro_starters/pyspark-iris-running-on-gcp-dataproc-serverless/README.md) uses Google Cloud Dataproc Batches to run Spark-powered kedro pipeline in a distributed manner on Severless Spark.
## Starters development
1. Clone the repository and switch to `develop`
1. Run `poetry install`
1. 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`
3. Install kedro `pip install kedro==0.18.3`
4. Run `kedro new -s <name-of-the-starter>`
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"description": "# Kedro starters by GetInData\n\nIn [GetInData](https://getindata.com/) we deploy Kedro-based projects to different environments \n(on-premise and cloud). This repository hosts the starters with a few deployment recipes, including\nthe ones that use [our plugins](https://github.com/search?q=topic%3Akedro-plugin+org%3Agetindata+fork%3Atrue&type=repositories).\n\n## Available starters\n\n* [pyspark-iris-running-on-gke](getindata_kedro_starters/pyspark-iris-running-on-gke/README.md) uses Google Kubernetes Engine to run Spark-powered kedro pipeline in a distributed manner.\n* [pyspark-iris-running-on-gcp-dataproc-serverless](getindata_kedro_starters/pyspark-iris-running-on-gcp-dataproc-serverless/README.md) uses Google Cloud Dataproc Batches to run Spark-powered kedro pipeline in a distributed manner on Severless Spark.\n\n## Starters development\n\n1. Clone the repository and switch to `develop`\n1. Run `poetry install`\n1. Run `source $(poetry env info --path)/bin/activate`\nNote: when you use `conda`, you need the extra step of `conda deactivate` to avoid conflict between the `conda` and `venv`\n3. Install kedro `pip install kedro==0.18.3`\n4. Run `kedro new -s <name-of-the-starter>`\n\n",
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