PR review comments addressed

modules/vantagecloud-lake/pages/vantagecloud-lake-compute-cluster-airflow.adoc

@@ -119,7 +119,7 @@ pip install dbt-teradata dbt-core
 
 == Create a database
 
-NOTE: Use a database client like BTEQ, Lake Editor, Teradata Studio or  dbeaver to execute below queries.
+NOTE: Use a database client like BTEQ, Lake Editor, Teradata Studio or  dbeaver to execute `CREATE DATABASE` query.
 
 Let's create `jaffle_shop` database in Vantage lake instance with TD_OFSSTORAGE as default.
 
@@ -133,6 +133,8 @@ PERMANENT = 120e6, -- 120MB
 
 == Create a database user
 
+NOTE: Use a database client like BTEQ, Lake Editor, Teradata Studio or  dbeaver to execute `CREATE USER` query.
+
 Let's create `lake_user` user in Vantage lake instance.
 
 [source, teradata-sql]
@@ -146,6 +148,8 @@ DEFAULT DATABASE = jaffle_shop;
 
 == Grant access to user
 
+NOTE: Use a database client like BTEQ, Lake Editor, Teradata Studio or  dbeaver to execute `GRANT ACCESS` queries.
+
 Let's provide required privileges to user `lake_user` to manage compute cluster.
 
 [source, teradata-sql]
@@ -186,7 +190,7 @@ jaffle_shop:
   target: dev
 ----
 
-== Configure Airflow
+== Configure Apache Airflow
 
 1. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in Airflow UI.
 +
@@ -208,7 +212,7 @@ set dbt_venv_dir=/../../dbt_env/bin/activate
 +
 NOTE: Change `/../../` to path where virtual environment path defined.
 
-== Start Airflow web server
+== Start Apache Airflow web server
 1. Run airflow web server
 +
 [source, bash]
@@ -217,7 +221,7 @@ airflow standalone
 ----
 2. Access the airflow UI. Visit https://localhost:8080 in the browser and log in with the admin account details shown in the terminal.
 
-== Define Airflow connection to Vantage Cloud Lake
+== Define Apache Airflow connection to Vantage Cloud Lake
 
 1. Click on Admin - Connections
 2. Click on + to define new connection to Teradata vantage cloud lake instance.
@@ -230,7 +234,7 @@ airflow standalone
 * Password (required): lake_user
 
 == Define DAG in Apache Airflow
-Dags in airflow will be defined as python file. Similarly, Define below dag to run dbt transformations defined in `jaffle_shop` dbt project using vantage cloud lake compute cluster. Copy below python code and save it as `airflow-vcl-compute-clusters-manage.py` under directory $AIRFLOW_HOME/files/dags.
+Dags in airflow will be defined as python file. Similarly, define below dag to run dbt transformations defined in `jaffle_shop` dbt project using vantage cloud lake compute cluster. Copy below python code and save it as `airflow-vcl-compute-clusters-manage.py` under directory $AIRFLOW_HOME/files/dags.
 
 [source, python]
 ----
@@ -322,53 +326,9 @@ with DAG(
         >> remove_compute_group_from_user
     )
 ----
-
-== Configure Apache Airflow
-
-1. Configure the listed environment variables to activate the test connection button, preventing the loading of sample DAGs and default connections in Airflow UI.
-+
-[source, bash]
-  export AIRFLOW__CORE__TEST_CONNECTION=Enabled
-  export AIRFLOW__CORE__LOAD_EXAMPLES=false
-  export AIRFLOW__CORE_LOAD_DEFAULT_CONNECTIONS=false
-
-2. Define the path of jaffle_shop project as an environment variable `dbt_project_home_dir`.
-+
-[source, bash]
-export dbt_project_home_dir=../../jaffle_shop
-+
-NOTE: Change `/../../` to path of jaffle_shop project path.
-
-3. Define the virtual environment path where dbt-teradata installed in <<Install dbt>> as an environment variable `dbt_venv_dir`.
-[source, bash]
-set dbt_venv_dir=/../../dbt_env/bin/activate
-+
-NOTE: Change `/../../` to path where virtual environment path defined.
-
-== Start Apache Airflow web server
-1. Run airflow web server
-+
-[source, bash]
-----
-airflow standalone
-----
-5. Access the airflow UI. Visit https://localhost:8080 in the browser and log in with the admin account details shown in the terminal.
-
-== Define Apache Airflow connection to Vantage Cloud Lake
-
-1. Click on Admin - Connections
-2. Click on + to define new connection to Teradata vantage cloud lake instance.
-3. Define new connection with id `teradata_lake` with Teradata vantage cloud lake instance details.
-* Connection Id: teradata_lake
-* Connection Type: Teradata.
-* Database Server URL (required): Teradata vantage cloud lake instance hostname to connect to.
-* Database: jaffle_shop
-* Login (required): lake_user
-* Password (required): lake_user
-
 == Load DAG
 
-When the dag file copied to $AIRFLOW_HOME/files/dags, apache airflow loads the dag to airflow UI.
+When the dag file is copied to $AIRFLOW_HOME/files/dags, apache airflow loads the dag to airflow UI.
 
 == Run DAG
 
@@ -381,7 +341,7 @@ image::{dir}/airflow-dag-run.png[Run dag,align="left" width=75%]
 In this quick start guide, we explored how to utilize Teradata Vantage Lake Compute Cluster to execute dbt transformations using Airflow compute cluster operators.
 
 == Further reading
-* link:https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html[Airflow DAGs reference]
+* link:https://airflow.apache.org/docs/apache-airflow/stable/core-concepts/dags.html[Apache Airflow DAGs reference]
 * link:https://airflow.apache.org/docs/apache-airflow-providers-teradata/stable/operators/index.html[Airflow Teradata Compute Cluster Operators]