Release 0.18.14

Major features and improvements

Allowed using of custom cookiecutter templates for creating pipelines with --template flag for kedro pipeline create or via template/pipeline folder.
Allowed overriding of configuration keys with runtime parameters using the runtime_params resolver with OmegaConfigLoader.

Updated dataset factories to resolve nested catalog config properly.
Updated OmegaConfigLoader to handle paths containing dots outside of conf_source.
Made settings.py optional.

Added documentation to clarify execution order of hooks.
Added a notebook example for spaceflights to illustrate how to incrementally add Kedro features.
Moved documentation for the standalone-datacatalog starter into its README file.
Added new documentation about deploying a Kedro project with Amazon EMR.
Added new documentation about how to publish a Kedro-Viz project to make it shareable.
New TSC members added to the page and the organisation of each member is also now listed.
Plus some minor bug fixes and changes across the documentation.

All dataset classes will be removed from the core Kedro repository (kedro.extras.datasets). Install and import them from the kedro-datasets package instead.
All dataset classes ending with DataSet are deprecated and will be removed in Kedro 0.19.0 and kedro-datasets 2.0.0. Instead, use the updated class names ending with Dataset.
The starters pandas-iris, pyspark-iris, pyspark, and standalone-datacatalog are deprecated and will be archived in Kedro 0.19.0.
PartitionedDataset and IncrementalDataset have been moved to kedro-datasets and will be removed in Kedro 0.19.0. Install and import them from the kedro-datasets package instead.

Many thanks to the following Kedroids for contributing PRs to this release: