Changed
- Flight SQL protocol now supports anonymous and bearer token authentication
- The `kamu notebook` command now defaults to `DataFusion` engine for speed, but you can switch to Spark with `--engine spark` argument
- The `kamu notebook` command uses new image based on latest Jupyter and new [`kamu-client-python`](https://github.com/kamu-data/kamu-client-python) library
- The `kamu sql server` command now defaults to `DataFusion` engine with interface changed to use `--engine datafusion/spark`, removing the `--flight-sql` flag
- Examples in `examples/flightsql/python` were updated to new auth and showcasing `kamu` Python library
- Most notebooks in `examples/` directory are using `kamu` Python library with `DataFusion` engine, with Spark still in use for GIS extensions