diff --git a/docs/lineage/airflow.md b/docs/lineage/airflow.md
index 77ffb361d7..4880d274e1 100644
--- a/docs/lineage/airflow.md
+++ b/docs/lineage/airflow.md
@@ -46,6 +46,7 @@ We recommend you use the lineage plugin if you are on Airflow version >= 2.0.2 o
     |---|---|---|
     | datahub.datahub_conn_id | datahub_rest_default  | The name of the datahub connection you set in step 1.  |
     | datahub.cluster |  prod | name of the airflow cluster  |
+    | capture_executions | false | If true, it captures task runs as DataHub DataProcessInstances.  |
     | datahub.capture_ownership_info | true  |  If true, the owners field of the DAG will be capture as a DataHub corpuser.   |
     | datahub.capture_tags_info  | true   | If true, the tags field of the DAG will be captured as DataHub tags.  |
     | datahub.graceful_exceptions  | true  | If set to true, most runtime errors in the lineage backend will be suppressed and will not cause the overall task to fail. Note that configuration issues will still throw exceptions.|
@@ -101,6 +102,7 @@ If you are looking to run Airflow and DataHub using docker locally, follow the g
    datahub_kwargs = {
        "datahub_conn_id": "datahub_rest_default",
        "cluster": "prod",
+       "capture_executions": true,
        "capture_ownership_info": true,
        "capture_tags_info": true,
        "graceful_exceptions": true }
diff --git a/metadata-ingestion/src/datahub/api/entities/datajob/dataflow.py b/metadata-ingestion/src/datahub/api/entities/datajob/dataflow.py
index 588e66f19a..5634a39ab4 100644
--- a/metadata-ingestion/src/datahub/api/entities/datajob/dataflow.py
+++ b/metadata-ingestion/src/datahub/api/entities/datajob/dataflow.py
@@ -75,7 +75,7 @@ class DataFlow:
         tags = GlobalTagsClass(
             tags=[
                 TagAssociationClass(tag=builder.make_tag_urn(tag))
-                for tag in (self.tags or [])
+                for tag in (sorted(self.tags) or [])
             ]
         )
         return [tags]
diff --git a/metadata-ingestion/src/datahub/api/entities/datajob/datajob.py b/metadata-ingestion/src/datahub/api/entities/datajob/datajob.py
index ec86ad8022..8f33c7c3a4 100644
--- a/metadata-ingestion/src/datahub/api/entities/datajob/datajob.py
+++ b/metadata-ingestion/src/datahub/api/entities/datajob/datajob.py
@@ -103,7 +103,7 @@ class DataJob:
         tags = GlobalTagsClass(
             tags=[
                 TagAssociationClass(tag=builder.make_tag_urn(tag))
-                for tag in (self.tags or [])
+                for tag in (sorted(self.tags) or [])
             ]
         )
         return [tags]
diff --git a/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_demo.py b/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_demo.py
index b1bd560a63..d269a1fdb5 100644
--- a/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_demo.py
+++ b/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_demo.py
@@ -37,11 +37,9 @@ with DAG(
         task_id="run_data_task",
         dag=dag,
         bash_command="echo 'This is where you might run your data tooling.'",
-        inlets={
-            "datasets": [
-                Dataset("snowflake", "mydb.schema.tableA"),
-                Dataset("snowflake", "mydb.schema.tableB"),
-            ],
-        },
-        outlets={"datasets": [Dataset("snowflake", "mydb.schema.tableC")]},
+        inlets=[
+            Dataset("snowflake", "mydb.schema.tableA"),
+            Dataset("snowflake", "mydb.schema.tableB"),
+        ],
+        outlets=[Dataset("snowflake", "mydb.schema.tableC")],
     )
diff --git a/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_taskflow_demo.py b/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_taskflow_demo.py
index 36b011dda5..0cc4809598 100644
--- a/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_taskflow_demo.py
+++ b/metadata-ingestion/src/datahub_provider/example_dags/lineage_backend_taskflow_demo.py
@@ -30,13 +30,11 @@ default_args = {
 )
 def datahub_lineage_backend_taskflow_demo():
     @task(
-        inlets={
-            "datasets": [
-                Dataset("snowflake", "mydb.schema.tableA"),
-                Dataset("snowflake", "mydb.schema.tableB"),
-            ],
-        },
-        outlets={"datasets": [Dataset("snowflake", "mydb.schema.tableC")]},
+        inlets=[
+            Dataset("snowflake", "mydb.schema.tableA"),
+            Dataset("snowflake", "mydb.schema.tableB"),
+        ],
+        outlets=[Dataset("snowflake", "mydb.schema.tableC")],
     )
     def run_data_task():
         # This is where you might run your data tooling.
diff --git a/metadata-ingestion/src/datahub_provider/lineage/datahub.py b/metadata-ingestion/src/datahub_provider/lineage/datahub.py
index 17c0655308..d341165aee 100644
--- a/metadata-ingestion/src/datahub_provider/lineage/datahub.py
+++ b/metadata-ingestion/src/datahub_provider/lineage/datahub.py
@@ -120,6 +120,8 @@ class DatahubLineageBackend(LineageBackend):
         except Exception as e:
             if config.graceful_exceptions:
                 operator.log.error(e)
-                operator.log.info("Supressing error because graceful_exceptions is set")
+                operator.log.info(
+                    "Suppressing error because graceful_exceptions is set"
+                )
             else:
                 raise