Migration guide for Utils

Version 1.10.6 of dbt-core now required
for a full upgrade walkthrough, please follow official dbt guide
Generic test arguments must be nested under arguments: (see dbt’s guidance on the require_generic_test_arguments_property behavior change here)
Adapter dbt-redshift 1.10.0+ is required for Redshift users
Users unable to upgrade immediately may remain on v0.x, which receives critical bug fixes only

Version 1.4.0 of dbt-core now required
Any custom models using the snowplow_incremental materialization should be changed to use the incremental materialization with snowplow_optimize=true set in the model config. snowplow_incremental has been deprecated
BigQuery incremental models now require the upsert_date_key config
snowplow_utils.type_string it has been deprecated and should be replaced with dbt.type_string() for non-length specific calls, and snowplow_utils.type_max_string for redshift strings above 256 characters.
snowplow_utils.get_cluster_by and snowplow_utils.get_partition_by they have been deprecated and should be replaced with snowplow_utils.get_value_by_target_type with arg names bigquery_val, databricks_val etc.
snowplow_utils.snowplow_is_incremental has been deprecated and should be replaced with standard is_incremental() to align with removal of the custom materialization
You must add the following to the top level of your project yaml to take advantage of our optimized incremental materialization
ymldbt_project.yml
```
dispatch:
  - macro_namespace: dbt
    search_order: ['snowplow_utils', 'dbt']
```