Laktory

Fixed
* CDC Merge when records flagged for delete don't exist in target

Added
* `is_enabled` option to resources for disabling specific resources for specific environments or configurations.
* `name_prefix` and `name_suffix` options for DLT pipeline
* Support for "AVRO", "ORC", "TEXT" and "XML" format for file data source with spark dataframe backend.

Added
* `inject_vars_into_dump` method for `BaseModel` class to inject variables into a dictionary
* `MlfflowExperiment` Databricks resource
* `MlfflowModel` Databricks resource
* `MlfflowWebhook` Databricks resource
* `Alert` Databricks resource
* `Query` Databricks resource
* `name_prefix` and `name_suffix` options for `Alert`, `Dashboard` and `Query` resources.
Fixed
* Removed dependency on `pytz`
Breaking changes
* Refactored `BaseModel` `inject_vars` method to inject variables directly into the model, instead of into a dump.
* Deprecated `SQLQuery` Databricks resource

Added
* Databricks job name prefix and suffix attributes
* Propagation of stack variables to all resources
Updated
* Removed unsafe characters from pipeline default root

Added
* Support for setting Laktory Databricks Workspace root from the stack file
* Support for Databricks Job Queuing [[307](https://github.com/okube-ai/laktory/issues/307)]
Fixed
* Injection of variables into pipeline names
Updated
* Given priority to stack variables over environment variables
* Automatic assignation of pipeline name to Databricks Job name when selected as orchestrator
* `workflows` quickstart pipeline notebook to support custom laktory root
Breaking Changes
* Renamed `PipelineNode` attribute `primiary_key` to `primary_keys` to support multiple keys

Fixed
* DataSink merge for out-of-order records with streaming DataFrame