Updates docs for using with ETL system

Adds links to examples.

docs/concepts/best-practices/using-within-your-etl-system.rst

@@ -13,22 +13,22 @@ Compatibility Matrix
    * - Framework / Scheduler
      - Compatibility
    * - `Airflow <http://airflow.org>`_
-     - ✅
+     - ✅  (see [airflow example](https://github.com/DAGWorks-Inc/hamilton/tree/main/examples/airflow))
    * - `Dagster <https://dagster.io>`_
      - ✅
    * - `Prefect <https://prefect.io>`_
-     - ✅
+     - ✅  (see [prefect example](https://github.com/DAGWorks-Inc/hamilton/tree/main/examples/prefect))
    * - `Kubeflow Pipelines <https://www.kubeflow.org/docs/components/pipelines>`_
      - ✅
    * - `CRON <https://en.wikipedia.org/wiki/Cron>`_
      - ✅
    * - `dbt <https://getdbt.com>`_
-     - ❔  (dbt did not run python, but now it does so it should)
+     - ✅  (see dbt example)
    * - `kubernetes <https://kubernetes.io>`_
      - ✅ but you need to setup kubernetes to run an image that can run python code - e.g. see `Running a python application on kubernetes <https://medium.com/avmconsulting-blog/running-a-python-application-on-kubernetes-aws-56609e7cd88c>`_
    * - `docker <https://www.docker.com>`_
      - ✅ but you need to setup a docker image that can execute python code.
-   * - ... in general if it runs python 3.6+ ...
+   * - ... in general if it runs python 3.7+ ...
      - ✅
 
 ETL Recipe