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>
1 maintainer
Metadata
1 maintainer
Release files for getindata-kedro-starters 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| getindata_kedro_starters-0.2.0.tar.gz | 161.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| getindata_kedro_starters-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 357.3 kB
Release files / getindata_kedro_starters-0.2.0.tar.gz
| Download URL | getindata_kedro_starters-0.2.0.tar.gz |
|---|---|
| Size | 161.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.9.16
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Release files / getindata_kedro_starters-0.2.0-py3-none-any.whl
| Download URL | getindata_kedro_starters-0.2.0-py3-none-any.whl |
|---|---|
| Size | 196.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
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