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# Configuration | ||
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```{toctree} | ||
:maxdepth: 1 | ||
configuration_basics | ||
credentials | ||
parameters | ||
advanced_configuration | ||
``` |
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# Data Catalog | ||
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```{toctree} | ||
:maxdepth: 1 | ||
data_catalog | ||
kedro_io | ||
``` |
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# Development | ||
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```{toctree} | ||
:maxdepth: 1 | ||
set_up_vscode | ||
set_up_pycharm | ||
commands_reference | ||
debugging | ||
automated_testing | ||
linting | ||
``` |
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# Extend Kedro | ||
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```{toctree} | ||
:maxdepth: 1 | ||
common_use_cases | ||
custom_datasets | ||
plugins | ||
``` |
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# First steps | ||
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This section explains the first steps to set up and explore Kedro: | ||
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```{toctree} | ||
:maxdepth: 1 | ||
install | ||
new_project | ||
kedro_concepts | ||
``` |
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# Hooks | ||
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## Introduction | ||
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Hooks are a mechanism to add extra behaviour to Kedro's main execution in an easy and consistent manner. Some examples might include: | ||
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* Adding a log statement after the data catalog is loaded. | ||
* Adding data validation to the inputs before a node runs, and to the outputs after a node has run. This makes it possible to integrate with other tools like [Great-Expectations](https://docs.greatexpectations.io/en/latest/). | ||
* Adding machine learning metrics tracking, e.g. using [MLflow](https://mlflow.org/), throughout a pipeline run. | ||
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```{toctree} | ||
:maxdepth: 1 | ||
introduction | ||
common_use_cases | ||
examples | ||
``` |
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# Integrations | ||
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## Databricks integration | ||
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```{toctree} | ||
:maxdepth: 1 | ||
databricks_workspace.md | ||
databricks_visualisation.md | ||
``` | ||
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## PySpark integration | ||
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```{toctree} | ||
:maxdepth: 1 | ||
pyspark_integration.md | ||
``` |
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