Merge pull request #239348 from fbsolo-ms1/new-updates-for-AMAR

Requested file and content changes.

Author: v-regandowner

articles/machine-learning/how-to-connection.md

@@ -9,7 +9,7 @@ ms.topic: how-to
 ms.author: ambadal
 author: AmarBadal
 ms.reviewer: franksolomon
-ms.date: 04/18/2023
+ms.date: 05/25/2023
 ms.custom: data4ml
 
 # Customer intent: As an experienced data scientist with Python skills, I have data located in external sources outside of Azure. I need to make that data available to the Azure Machine Learning platform, to train my machine learning models.
@@ -143,13 +143,13 @@ This YAML script creates an Azure SQL DB connection. Be sure to update the appro
 # my_sqldb_connection.yaml
 $schema: http://azureml/sdk-2-0/Connection.json
 
-type: azure_sql_db
+type: azuresqldb
 name: my_sqldb_connection
 
 target: Server=tcp:<myservername>,<port>;Database=<mydatabase>;Trusted_Connection=False;Encrypt=True;Connection Timeout=30
 # add the sql servername, port addresss and database
 credentials:
-    type: username_password
+    type: sql_auth
     username: <username> # add the sql database user name here or leave this blank and type in CLI command line
     password: <password> # add the sql database password here or leave this blank and type in CLI command line
 ```
@@ -271,3 +271,4 @@ ml_client.connections.create_or_update(workspace_connection=wps_connection)
 ## Next steps
 
 - [Import data assets](how-to-import-data-assets.md)
+- [Import data assets on a schedule](reference-yaml-schedule-data-import.md)

articles/machine-learning/how-to-import-data-assets.md

@@ -9,7 +9,7 @@ ms.topic: how-to
 ms.author: ambadal
 author: AmarBadal
 ms.reviewer: franksolomon
-ms.date: 05/17/2023
+ms.date: 05/25/2023
 ms.custom: data4ml
 ---
 
@@ -217,6 +217,7 @@ ml_client.data.show_materialization_status(name="<name>")
 
 ## Next steps
 
+- [Import data assets on a schedule](reference-yaml-schedule-data-import.md)
 - [Read data in a job](how-to-read-write-data-v2.md#read-data-in-a-job)
 - [Working with tables in Azure Machine Learning](how-to-mltable.md)
 - [Access data from Azure cloud storage during interactive development](how-to-access-data-interactive.md)