Latest updates to data lake client, autopilot, and dbx tutorials (#18447)

* Automatic commit: Move 'hana-cloud-alerts-autopilot', 'hana-cloud-dl-clients-node', 'hana-cloud-dl-clients-odbc', 'hana-cloud-dl-clients-overview', 'hana-cloud-dl-clients-python', 'hana-dbx-connections', 'hana-dbx-create-schema', 'hana-dbx-export-import', 'hana-dbx-remote-sources' from QA to Production

* Automatic commit: Move 'hana-cloud-dl-clients-overview' from QA to Production

Author: danielva

tutorials/hana-cloud-alerts-autopilot/hana-cloud-alerts-autopilot.md

@@ -311,7 +311,8 @@ This step will configure the SAP Alert Notification Service to invoke the previo
 
     >---
 
-    >Note, that multiple alerts will be triggered.  For example, alerts are sent with a status of  CREATE, UPDATE, or CLOSE.  Some alerts also have different thresholds or severity values such as ERROR, WARNING, or NOTICE.  See also [Alerts in SAP HANA Cloud](https://help.sap.com/viewer/f9c5015e72e04fffa14d7d4f7267d897/Cloud/en-US/8eca57e7e82e4b788246b6d9db020937.html).
+    >Note, that multiple alerts will be triggered.  For example, alerts are sent with a status of  CREATE, UPDATE, or CLOSE.  Some alerts also have different thresholds or severity values such as ERROR, WARNING, or NOTICE.  See also [Alerts in SAP HANA Cloud](https://help.sap.com/docs/HANA_CLOUD_DATABASE/f9c5015e72e04fffa14d7d4f7267d897/8eca57e7e82e4b788246b6d9db020937.html).
+
 
 6. In the SAP HANA database explorer, trigger the test alert.
 

tutorials/hana-cloud-dl-clients-node/npm-list.png

@@ -137,7 +137,7 @@ For additional details see [Connection Properties](https://help.sap.com/viewer/a
 [DONE]
 [ACCORDION-END]
 
-[ACCORDION-BEGIN [Step 3: ](Use data lake data source from Microsoft Excel)]
+[ACCORDION-BEGIN [Step 3: ](Use a data lake data source from Microsoft Excel)]
 
 An application that supports ODBC can now make use of the created data source. One example on Windows is Microsoft Excel.  
 

tutorials/hana-cloud-dl-clients-odbc/Excel-choose-table.png

@@ -9,7 +9,6 @@ primary_tag: software-product-function>sap-hana-cloud\,-data-lake
 
 ## Prerequisites
  - A Microsoft Windows or Linux computer.
- - An SAP HANA Cloud trial or free tier.
 
 ## Details
 ### You will learn
@@ -38,15 +37,14 @@ SAP HANA Cloud is composed of multiple components.
 
     >Note, that the data lake Files component is currently not available in trial accounts.
 
-For additional details see [How & When to Use the New SAP HANA Cloud Database Instances](https://saphanajourney.com/hana-cloud/resources/sap-hana-cloud-new-services-adaptive-server-enterprise-and-data-lake/).
 
 [DONE]
 [ACCORDION-END]
 
 
 [ACCORDION-BEGIN [Step 2: ](Create a data lake instance and connect to it)]
 
->To complete the tutorials in this group, an SAP HANA Cloud, data lake instance is needed. There are two different free options including SAP HANA Cloud free tier and free trial.  For instructions on registering, see [Set Up Your SAP HANA Cloud, SAP HANA Database (free tier or trial) and Understand the Basics](group.hana-cloud-get-started-1-trial).
+>To complete the tutorials in this group, a SAP HANA Cloud, data lake instance is needed, which is created within the SAP Business Technology Platform (BTP). There are two different free options available, which are the SAP BTP free-tier and SAP BTP trial.  For instructions on registering, see [Start Using SAP HANA Cloud Free Tier Model or Trial in SAP BTP Cockpit](hana-cloud-mission-trial-1).
 
 The following steps provide instructions on how to create a data lake instance in the SAP Business Technology Platform (BTP) trial.  Additional content on this topic is available at [Quick Start Tutorial for Data Lake](https://help.sap.com/viewer/a89a80f984f21015b2b2c84d2498d36d/latest/en-US/b62bc948ad684e3a94b9e14b68318f2a.html).
 
@@ -267,6 +265,8 @@ In this step, a sample HOTEL dataset will be created comprising tables, a view,
     GRANT ROLE HOTEL TO USER1;
     ```
 
+    Select **Tables**, and set the schema filter to be **HOTEL** to limit the returned tables to be those that were just created in the HOTEL schema.
+
     ![DBX Create](sql-commands.png)
 
     Additional details on the SQL used above can be found at [CREATE TABLE Statement for Data Lake Relational Engine](https://help.sap.com/viewer/19b3964099384f178ad08f2d348232a9/latest/en-US/a619764084f21015b8039a8346dc622c.html), [CREATE VIEW Statement for Data Lake Relational Engine](https://help.sap.com/viewer/19b3964099384f178ad08f2d348232a9/latest/en-US/a61a051684f210158cced2d83231bd8a.html), and [CREATE PROCEDURE Statement for Data Lake Relational Engine](https://help.sap.com/viewer/19b3964099384f178ad08f2d348232a9/latest/en-US/a6185b2184f21015b2419a5444b55609.html).
@@ -391,13 +391,13 @@ The data lake client install includes [Interactive SQL Client (DBISQL)](https://
     >DBISQL can also be started without a GUI.
     >
     >```Shell (Windows)
-    dbisql -hdl -c "uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)" -nogui
+    dbisql -c "uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)" -nogui
     >```
     >
     > Note that in a Bash shell, strings in double quotes versus single quotes are treated [differently](https://stackoverflow.com/questions/6697753/difference-between-single-and-double-quotes-in-bash).
     >
     >```Shell (Linux)
-    dbisql -hdl -c 'uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)' -nogui
+    dbisql -c 'uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)' -nogui
     >```
 
     >![DBISQL connected nogui](dbisql-nogui.png)
@@ -421,7 +421,7 @@ The data lake client install includes [Interactive SQL Client (DBISQL)](https://
 
 1. Execute the following insert statements to provide some sample data.
 
-    >If you do not wish to use the GUI mode, paste the insert statements into a file first and then run `dbisql -hdl -c "uid..." sql.sql`.
+    >If you do not wish to use the GUI mode, paste the insert statements into a file first and then run `dbisql -c "uid..." sql.sql`.
 
     ```SQL
     INSERT INTO HOTEL.HOTEL VALUES(10, 'Congress', '155 Beechwood St.', 'Seattle', 'WA', '20005');
@@ -550,8 +550,8 @@ The data lake client install includes [Interactive SQL Client (DBISQL)](https://
 3. DBISQL can also execute SQL from the command line or from a provided file. A few examples are shown below.
 
     ```Shell
-    dbisql -hdl -c "uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)" "select * from HOTEL.CUSTOMER;"
-    dbisql -hdl -c "uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)" sql.sql
+    dbisql -c "uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)" "select * from HOTEL.CUSTOMER;"
+    dbisql -c "uid=USER1;pwd=Password1;host=XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX.iq.hdl.trial-XXXX.hanacloud.ondemand.com:443;ENC=TLS(tls_type=rsa;direct=yes)" sql.sql
     ```
 
     ![DBISQL in batch mode](dbisql-batch.png)

tutorials/hana-cloud-dl-clients-odbc/ExcelDSN.png

@@ -80,9 +80,9 @@ The `sqlanydb` package is the python driver for the data lake Relational Engine
 
     This should create additional build directories in the current folder.
 
-2. On Microsoft Windows, set the environment variable `SQLANY_API_DLL`.
+2. On Microsoft Windows, create a user environment variable named `SQLANY_API_DLL` and set it to `%IQDIR17%\Bin64\dbcapi.dll`.
 
-    Navigate to your system environment variables and set `SQLANY_API_DLL=%IQDIR17%\Bin64\dbcapi.dll`.
+    ![add a variable named SQLANY_API_DLL](add-variable.png)
 
 [DONE]
 [ACCORDION-END]

tutorials/hana-cloud-dl-clients-odbc/data-source1.png

@@ -39,11 +39,21 @@ The following steps will create sample objects for a hotel database using create
     CREATE USER USER2 PASSWORD Password2 no force_first_password_change SET USERGROUP DEFAULT;
     >```
 
-    >--
+    >---
 
-    >It is recommended to not use the DBADMIN user for day to day operations in production environments.  For additional details see [Deactivate the DBADMIN User](https://help.sap.com/docs/HANA_CLOUD_DATABASE/f9c5015e72e04fffa14d7d4f7267d897/c511ddf1767947f0adfc9636148718d9.html).
+    >The following shows an example of creating a USERGROUP, assigning USER1 to the group, and querying the password policy of the user.
 
-    For additional detail on creating users see [CREATE USER Statement (Access Control)](https://help.sap.com/viewer/c1d3f60099654ecfb3fe36ac93c121bb/latest/en-US/20d5ddb075191014b594f7b11ff08ee2.html). Note that the user USER1 will be used in tutorial 5 and tutorial 7 of this tutorial group.
+    >```SQL
+    CREATE USERGROUP HOTEL_USER_GROUP SET PARAMETER 'minimal_password_length' = '8', 'force_first_password_change' = 'FALSE';
+    ALTER USER USER1 SET USERGROUP HOTEL_USER_GROUP;
+    SELECT * from "PUBLIC"."M_EFFECTIVE_PASSWORD_POLICY" where USER_NAME = 'USER1';
+    >```
+
+    >---
+
+    >It is recommended to not use the DBADMIN user for day to day operations in production environments.  For additional details see [Deactivate the DBADMIN User](https://help.sap.com/docs/HANA_CLOUD_DATABAS/f9c5015e72e04fffa14d7d4f7267d897/c511ddf1767947f0adfc9636148718d9.html).
+
+    For additional detail on creating users see [CREATE USER Statement (Access Control)](https://help.sap.com/viewer/c1d3f60099654ecfb3fe36ac93c121bb/latest/en-US/20d5ddb075191014b594f7b11ff08ee2.html) and [CREATE USERGROUP Statement](https://help.sap.com/docs/HANA_CLOUD_DATABASE/c1d3f60099654ecfb3fe36ac93c121bb/9869125ea93548009820702f5bd897d8.html). Note that the user USER1 will be used in tutorial 5 and tutorial 7 of this tutorial group.
 
 3. The list of users can be seen by executing the following statement:
 

tutorials/hana-cloud-dl-clients-odbc/data-source4.png

@@ -197,6 +197,7 @@ The following steps walk through the process of exporting to and importing data
 10. A Google Storage SSL certificate is required to connect to the Google Cloud Storage bucket via the SAP HANA Cloud, SAP HANA database. Open your SQL console within SAP HANA database explorer, and run the first 3 commands.  Then replace \<SELECTED_CERTIFICATE_ID> with the value returned from the previous select statement.
 
     ```SQL[27]
+    SELECT * FROM PSES;
     CREATE PSE HTTPS;
     CREATE CERTIFICATE FROM '-----BEGIN CERTIFICATE-----
     MIIFVzCCAz+gAwIBAgINAgPlk28xsBNJiGuiFzANBgkqhkiG9w0BAQwFADBHMQsw

tutorials/hana-cloud-dl-clients-odbc/hana-cloud-dl-clients-odbc.md

@@ -180,7 +180,7 @@ A benefit of a virtual table is that there is no data movement.  There is only o
 
 [ACCORDION-BEGIN [Step 2: ](Connect from SAP HANA Cloud to SAP HANA Cloud, data lake Relational Engine)]
 
-[SAP HANA Cloud, data lake](https://help.sap.com/viewer/product/SAP_HANA_DATA_LAKE/cloud/en-US) can be used to store large amounts of data that is not accessed frequently.  The following steps create the table `tourist_reviews` in SAP HANA Cloud, data lake Relational Engine and access the table from the associated SAP HANA Cloud instance.
+[SAP HANA Cloud, data lake](https://help.sap.com/viewer/product/SAP_HANA_DATA_LAKE/cloud/en-US) can be used to store large amounts of data that is not accessed and updated as frequently as data in an SAP HANA database.  The following steps create the table `tourist_reviews` in SAP HANA Cloud, data lake Relational Engine and access the table from the associated SAP HANA database instance.
 
 1. If needed, in SAP HANA Cloud Central, add an SAP HANA Cloud, data lake instance to your SAP HANA Cloud instance, by choosing **Actions > Add Data Lake**.