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# Lab 7: Connect Oracle Analytics Cloud (OAC) to Autonomous AI Database
# Lab 5: Connect Oracle Analytics Cloud (OAC) to Autonomous AI Database

## Introduction

Expand All @@ -20,52 +20,52 @@ In this lab, you will configure Oracle Analytics Cloud (OAC) to connect to your
## Task 1: Prepare Autonomous AI Database Connection Credentials

1. In the Oracle Cloud Console, open the navigation menu, click **Oracle AI Database**, then select **Autonomous AI Database** .
![image of configure autonomous ai database](../common/images/configure-autonomous-ai-database.png)
![image of configure autonomous ai database](../common/images/configure-autonomous-ai-database.png)
2. In the database list, locate your Autonomous AI Database and click the name to view its details.
![image of database list](./images/database-list.png)
![image of database list](./images/database-list.png)
3. Click **Database Connection**
![image of database connection](./images/database-connection.png)
![image of database connection](./images/database-connection.png)
4. Click **Download Wallet** to start the download for the client credentials zip file.
![image of database connection download wallet](./images/database-connection-download-wallet.png)
![image of database connection download wallet](./images/database-connection-download-wallet.png)
5. When prompted, create and enter a strong password in **Password** and **Confirm password** fields.
*(You will use this password to access the wallet when configuring the OAC connection.)*
*(You will use this password to access the wallet when configuring the OAC connection.)*
6. Click **Download** to save the wallet (.zip) file to your computer.
![image of database connection download wallet details](./images/database-connection-download-wallet-details.png)
![image of database connection download wallet details](./images/database-connection-download-wallet-details.png)

*Keep your downloaded wallet and password safe. You will use these in the next steps to connect OAC to your Autonomous AI Database.*

## Task 2: Create a Database Connection in OAC

1. On the OAC home page, click page menu in the upper left side.
2. Select **Data**.
![image of analytics cloud config data](../common/images/analytics-cloud-config-data.png)
![image of analytics cloud config data](../common/images/analytics-cloud-config-data.png)
3. Over the imported connection, on the right side, click actions menu and click **Inspect** to view details.
![image of analytics cloud data connection inspect](./images/analytics-cloud-data-connection-inspect.png)
![image of analytics cloud data connection inspect](./images/analytics-cloud-data-connection-inspect.png)
4. Complete the connection form:
* **Connection Name**: Enter a name (e.g., `JMS_AAID_EXPORT`).
* **Description**: (Optional) Add a brief description.
* **Username**: Enter your database user (e.g., `JMS_EXPORT` or schema user).
* **Password**: Enter your database user’s password.
* **Client Credentials**: Upload the wallet (.zip) you downloaded earlier.
* **Wallet Password**: Enter the password you set when downloading the wallet.
* **Service Name**: Select the appropriate TNS alias for your workload (`HIGH`, `LOW`, or `TP`).
![image of analytics cloud data connection](images/analytics-cloud-data-connection.png)
* **Connection Name**: Enter a name (e.g., `JMS_AAID_EXPORT`).
* **Description**: (Optional) Add a brief description.
* **Username**: Enter your database user (e.g., `JMS_EXPORT` or schema user).
* **Password**: Enter your database user’s password.
* **Client Credentials**: Upload the wallet (.zip) you downloaded earlier.
* **Wallet Password**: Enter the password you set when downloading the wallet.
* **Service Name**: Select the appropriate TNS alias for your workload (`HIGH`, `LOW`, or `TP`).
![image of analytics cloud data connection](images/analytics-cloud-data-connection.png)
5. Click **Save** to create the connection.

## Task 3: Verify connection to AI Database reloading data

1. Go to Datasets.
2. Over the imported dataset, on the right side, click actions menu and click **Inspect** to view details.
![image of analytics cloud dataset inspect](images/analytics-cloud-dataset-inspect.png)
![image of analytics cloud dataset inspect](images/analytics-cloud-dataset-inspect.png)
3. On the left panel click **Reload Data**.
4. Click the button **Run Now**.
![image of analytics cloud dataset reload data](images/analytics-cloud-dataset-reload-data.png)
![image of analytics cloud dataset reload data](images/analytics-cloud-dataset-reload-data.png)
5. The Dataset is queued for reloading and will complete in the background. Click **Close**.
![image of analytics cloud dataset reload data close](images/analytics-cloud-dataset-reload-data-close.png)
![image of analytics cloud dataset reload data close](images/analytics-cloud-dataset-reload-data-close.png)
6. On the left panel click **History**. The Status could be **In Queue** or **Running**.
![image of analytics cloud dataset reload data inqueue](images/analytics-cloud-dataset-reload-data-inqueue.png)
![image of analytics cloud dataset reload data inqueue](images/analytics-cloud-dataset-reload-data-inqueue.png)
7. Wait until the execution ends and the status is **Completed**.
![image of analytics cloud dataset reload data complete](images/analytics-cloud-dataset-reload-data-complete.png)
![image of analytics cloud dataset reload data complete](images/analytics-cloud-dataset-reload-data-complete.png)

## Next Steps

Expand Down
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