0.19.12

Major features and improvements

• Added KedroDataCatalog.filter() to filter datasets by name and type.
• Added Pipeline.grouped_nodes_by_namespace property which returns a dictionary of nodes grouped by namespace, intended to be used by plugins to facilitate deployment of namespaced nodes together.
• Added support for cloud storage protocols in --conf-source, allowing configuration to be loaded from remote locations such as S3.

Bug fixes and other changes

• Added DataCatalog deprecation warning.
• Updated _LazyDataset representation when printing KedroDataCatalog.
• Fixed MemoryDataset to infer assign copy mode for Ibis Tables, which previously would be inferred as deepcopy.
• Fixed pipeline packaging issue by ensuring pipelines/__init__.py exists when creating new pipelines.
• Changed the execution of SequentialRunner to not use an executor pool to ensure it's single threaded.
• Fixed %load_node magic command to work with Jupyter Notebook >=7.2.0.
• Remove 7: Kedro Viz from Kedro tools.
• Updated node grouping API to only group on first level of namespace.

Documentation changes

• Added documentation for Kedro's support for Delta Lake versioning.
• Added documentation for Kedro's support for Iceberg versioning.
• Added documentation for Kedro's nodes grouping in deployment.
• Fixed a minor grammatical error in Kedro-Viz installation instructions to improve documentation clarity.
• Improved the Kedro VSCode extension documentation.
• Updated the recommendations for nesting namespaces.

Community contributions

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

• Jacob Pieniazek
• Lucas Vittor
• Ean Jimenez
• Toran Sahu