Major features and improvements
* Added `databricks-iris` as an official starter.
Bug fixes and other changes
* Reworked micropackaging workflow to use standard Python packaging practices.
* Make `kedro micropkg package` accept `--verbose`.
* Compare for protocol and delimiter in `PartitionedDataSet` to be able to pass the protocol to partitions which paths starts with the same characters as the protocol (e.g. `s3://s3-my-bucket`).
Documentation changes
* Significant improvements to the documentation that covers working with Databricks and Kedro, including a new page for workspace-only development, and a guide to choosing the best workflow for your use case.
* Updated documentation for deploying with Prefect for version 2.0.
* Added documentation for developing a Kedro project using a Databricks workspace.
Breaking changes to the API
* Logging is decoupled from `ConfigLoader`, use `KEDRO_LOGGING_CONFIG` to configure logging.