WMS ID: #11325 (#317)

updated-version

modern-data-warehouse/adw/adw.md

@@ -36,13 +36,13 @@ Estimated Lab Time: 15 minutes.
 
     This will produce a drop-down menu, where you should select **Autonomous Data Warehouse**.
 
-    ![Click Autonomous Data Warehouse.](https://oracle-livelabs.github.io/common/images/console/database-adw.png " ")
+    ![Select Autonomous Data Warehouse](./images/select-adw-2.png)
 
     This will take you to the management console page.
 
-2. To create a new instance, click the **Create Autonomous Database** button.
+2. To create a new instance, click the blue **Create Autonomous Database** button.
 
-    ![Create ADB](./images/create-adb.png)
+    ![Create ADB](./images/create-adb-2.png)
 
     Enter the required information and click the **Create Autonomous Database** button at the bottom of the form. For the purposes of this workshop, use the information below:
 
@@ -72,21 +72,21 @@ Estimated Lab Time: 15 minutes.
 
     ![Always Free Logo](./images/always-free-logo.png)
 
-    We have selected 'Always Free Tier On'. If you are running this workshop using the **Run on LiveLabs Sandbox** button, leave the 'Always Free Tier On' button unchecked.
+    We have selected 'Always Free Tier On'. 
 
     To learn more about Always Free check the following [link](https://www.oracle.com/uk/cloud/free/#always-free).
 
     ![ADB Creation Details](./images/adb-creation1.png)
 
     - **Choose Database version:** 19c
     
-    - **CPU Count:** 1
+    - **ECPU Count:** 2
     
     - **Storage Capacity (TB):** 1 or 0,02 Gb if you had chosen the **Always Free option**.
 
     - **CPU Count and Storage Capacity (TB)** are defined by default for the Always Free Tier.
     
-    - **OCPU Auto scaling:** Off
+    - **ECPU Auto scaling:** Off
     
     - **Storage Auto scaling:** Off
 
@@ -109,15 +109,15 @@ Estimated Lab Time: 15 minutes.
 
 4. Under **Choose a license type** section, choose **License Type: License Included**.
 
-    When you have completed the required fields, scroll down and click on the **Create Autonomous Database** button at the bottom of the form:
+    When you have completed the required fields, scroll down and click on the blue **Create Autonomous Database** button at the bottom of the form:
 
     ![ADB Creation](./images/adb-creation4.png)
 
 5. The Autonomous Database **Details** page will show information about your new instance. You should notice the various menu buttons that help you manage your new instance - because the instance is currently being provisioned all the management buttons are greyed out.
 
     ![ADB Creation Provisioning](./images/adb-provisioning.png)
 
-6. A summary of your instance status is shown in the large box on the left. In this example, the color is orange and the status is **Provisioning**.
+6. A summary of your instance status is shown in the large box on the left. In this example, the color is amber and the status is **Provisioning**.
 
     ![ADB Creation Provisioning Amber](./images/provisioning.png)
 
@@ -174,10 +174,11 @@ You have just created an Autonomous Database with the latest features of Oracle
 
     - **OML:** Enabled
 
-5. Click the **Create User** button.
-
     ![ADB Database User detail](./images/adb-user-details.png)
 
+5. Click the **Create User** button:
+
+    ![ADB Database User detail](./images/adb-user-creation.png)
 
 6. **CNVG** user has been created.
     
@@ -188,6 +189,7 @@ You can **proceed to the next lab.**
 
 ## Acknowledgements
 
-* **Author** - Javier de la Torre - Principal Data Management Specialist
-* **Contributors** - Priscila Iruela - Technology Product Strategy Director
-* **Last Updated By/Date** - Priscila Iruela, March 2023
+* **Author** - Javier de la Torre, Principal Data Management Specialist
+* **Contributors** - Priscila Iruela, Technology Product Strategy Director
+* **Last Updated By/Date** - Javier de la Torre, Principal Data Management Specialist
+

modern-data-warehouse/apex/apex.md

@@ -24,7 +24,7 @@ This lab assumes you have done all the other labs.
 
 ## Task 1: Create workspace
 
-1. Let's create a new workspace in **APEX** before we create an application. In your **Autonomous Database**, go to **Tool Configuration** and then Copy the Access URL for **Oracle APEX**. Paste this URL into your browser.
+1. Let's create a new workspace in **APEX** before we create an application. In your **Autonomous Database**, go to **Tools** and then **Oracle APEX**. Finally click on **Open APEX** button.
 
     ![Select SQL](./images/go-to-apex.png)
 
@@ -69,7 +69,7 @@ This lab assumes you have done all the other labs.
 
     ![Select SQL](./images/define-workspace.png)
 
-6. Click on **CNVG** to go to the new **workspace**.
+6. Click over **CNVG** to go to the new **workspace**.
 
     ![Select SQL](./images/new-workspace.png)
 
@@ -221,6 +221,7 @@ This lab assumes you have done all the other labs.
 _Congratulations! Well done!_
 
 ## Acknowledgements
-* **Author** - Javier de la Torre - Principal Data Management Specialist
-* **Contributors** - Priscila Iruela - Technology Product Strategy Director
-* **Last Updated By/Date** - Priscila Iruela, March 2023
+* **Author** - Javier de la Torre, Principal Data Management Specialist
+* **Contributors** - Priscila Iruela, Technology Product Strategy Director
+* **Last Updated By/Date** - Javier de la Torre, Principal Data Management Specialist
+

modern-data-warehouse/automl/automl.md

@@ -40,10 +40,29 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
 ## Task 2: Create the model
 
-1. As we have our data ready, let's create our **Machine Learning Model**. Go to your **Autonomous Database** dashboard and click on **Tool Configuration** and then copy the Access URL for **Oracle Machine Learning User Interface**. Paste the link into your browser.
+1. As we have our data ready, let's create our **Machine Learning Model**. Go to your **Autonomous Database** dashboard and click on **Tools** and then **Oracle ML User Administration**. Click finally on **Open Oracle ML User Administration** to open the ML development environment.
+
     ![Create Warehouse](./images/open-ml.png)
 
-2. **Sign In** with the **CNVG** user.
+2. Log in with the **ADMIN** user.
+
+    - **Username:** ADMIN
+        ```
+            <copy>ADMIN</copy>
+        ```
+    
+    - **Password:** Password123##
+        ```
+            <copy>Password123##</copy>
+        ```
+
+    ![Create Warehouse](./images/log-in.png)
+
+3. You will see that the **CNVG** user is already there. Click the **Home** button to sign in into the AutoML page.
+
+    ![Create Warehouse](./images/go-home.png)
+
+4. Now we can **Sign In** with the **CNVG** user.
 
     - **Username:** CNVG
         ```
@@ -57,15 +76,15 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
     ![Create Warehouse](./images/login-automl.png)
 
-3. Click on the **Home** menu of the ML page. Select **AutoML Experiments**.
+5. Click on the **Home** menu of the ML page. Select **AutoML Experiments**.
 
     ![Create Warehouse](./images/select-automl.png)
 
-4. Click on the **Create** button.
+6. Click on **Create** button.
 
   ![Create Warehouse](./images/create-experiment.png)
 
-5. Let's define our experiment. Fill the following information:
+7. Let's define our experiment. Fill the following information:
 
     - **Name:** Predict Churn
         ```
@@ -80,11 +99,11 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
   ![Create Warehouse](./images/prepare-model.png)
 
-6. We don't need to fill more information, click on **Start** and select **Faster Results**.
+8. We don't need to fill more information, click on **Start** and select **Faster Results**.
 
     ![Create Warehouse](./images/faster-results.png)
 
-7. Once it is finished, we can see which are the columns or features that have bigger impact in our model. **The prediction will take a few minutes, be patient!** **We can see that emotion is very important**.
+9. Once it is finished, we can see which are the columns or features that have bigger impact in our model. **The prediction will take a few minutes, be patience!**. **We can see that emotion is very important**.
 
     ![Create Warehouse](./images/importance.png)
 
@@ -132,11 +151,10 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
     ![Create Warehouse](./images/query-model.png)
 
-    > Note: Be sure the model has being executed completed, otherwise, you will get an error runing the query.
-
 _Congratulations! Well done!_
 
 ## Acknowledgements
-* **Author** - Javier de la Torre - Principal Data Management Specialist
-* **Contributors** - Priscila Iruela - Technology Product Strategy Director, John Craig - Technology Strategy Program Manager
-* **Last Updated By/Date** - Priscila Iruela, March 2023
+* **Author** - Javier de la Torre, Principal Data Management Specialist
+* **Contributors** - Priscila Iruela, Technology Product Strategy Director
+* **Last Updated By/Date** - Javier de la Torre, Principal Data Management Specialist
+

modern-data-warehouse/blockchain/blockchain.md

@@ -25,15 +25,15 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
 ## Task 1: Create Blockchain table
 
-1. Before starting the exercise you need to **Download the Data**. Download the **CSV dataset** from the following [LINK] (https://c4u04.objectstorage.us-ashburn-1.oci.customer-oci.com/p/EcTjWk2IuZPZeNnD_fYMcgUhdNDIDA6rt9gaFj_WZMiL7VvxPBNMY60837hu5hga/n/c4u04/b/livelabsfiles/o/labfiles/revenue.csv "download csv dataset"). 
+1. Before start the exercise you need to **Download the Data**. Download the **CSV dataset** from the following [LINK] (https://objectstorage.us-ashburn-1.oraclecloud.com/p/jyHA4nclWcTaekNIdpKPq3u2gsLb00v_1mmRKDIuOEsp--D6GJWS_tMrqGmb85R2/n/c4u04/b/livelabsfiles/o/labfiles/revenue.csv "download csv dataset"). 
 
 
 2. Let's create the **Blockchain table**. We need to go back to **SQL** menu on the **Database Actions** section. If you are still connected as CNVG user, you can go to step number 9 from this lab and step. Otherwise, you can follow the following steps.
 
 
 3. Let's go to our **Autonomous Data Warehouse**.
 
-    ![Click Autonomous Data Warehouse.](https://oracle-livelabs.github.io/common/images/console/database-adw.png " ")
+    ![Go to ADW](./images/go-to-adb.png)
 
 4. Select our **MODERNDW** database.
 
@@ -69,7 +69,7 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
     ![Select SQL](./images/select-sql.png)
 
-10. Copy the following **create table statement**, which contains the blockchain table:
+3. Copy the following **create table statement**, which contains the blockchain table:
 
     ```
         <copy> CREATE BLOCKCHAIN TABLE REVENUE
@@ -106,7 +106,7 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
         </copy>
     ```
 
-11. **Paste** it over SQL, and click on **Run Statement**.
+4. **Paste** it over SQL, and click on **Run**.
 
     Check that the **statement has being completed successfully**.
 
@@ -126,7 +126,7 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
     ![Select File](./images/select-file.png)
 
-4. Once it is **selected**, we are going to **define** into which table we want to load. Click on the **Settings** button.
+4. Once it is **selected**, we are going to **define** into which table we want to load. Click on the **Edit** button.
 
     ![Modify Load](./images/modify-load.png)
 
@@ -138,7 +138,7 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
     ![Set Definition](./images/set-definition.png)
 
-6. Now you can click on **Start** to **load the data into the blockchain table**.
+6. Now you can click on **Run** to **load the data into the blockchain table**.
 
     ![Load Data](./images/load-data.png)
 
@@ -152,7 +152,7 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 
 1. Now that we have the **data loaded**, let's go to **SQL** to run some queries.
 
-    ![Back SQL](./images/back-to-sql.png)
+    ![Back SQL](./images/back-sql.png)
 
 2. Let's have a look into the **new revenue data**. You will see information about many transactions. **Run** the following statement:
 
@@ -259,6 +259,7 @@ This lab assumes you have created the Autonomous Data Warehouse database in the
 You can **proceed to the next lab.**
 
 ## Acknowledgements
-* **Author** - Javier de la Torre - Principal Data Management Specialist
-* **Contributors** - Priscila Iruela - Technology Product Strategy Director
-* **Last Updated By/Date** - Priscila Iruela, March 2023
+* **Author** - Javier de la Torre, Principal Data Management Specialist
+* **Contributors** - Priscila Iruela, Technology Product Strategy Director
+* **Last Updated By/Date** - Javier de la Torre, Principal Data Management Specialist
+