Connect to Oracle Data in ACL Analytics

ACL Analytics, part of Diligent HighBond, is a powerful data analysis software primarily used for audit, risk management, and compliance. It enables professionals to examine and analyze large volumes of data to identify anomalies, trends, and potential risks or fraudulent activities.

CData Connect Cloud offers a dedicated cloud-to-cloud interface for Oracle, enabling analytics directly from live Oracle data within ACL Analytics, all without the need for data replication to a native database. With its inherent optimized data processing capabilities, CData Connect Cloud efficiently channels all supported SQL operations, including filters and JOINs, directly to Oracle. This leverages server-side processing to swiftly deliver the requested Oracle data.

Configure Oracle Connectivity for ACL Analytics

Connectivity to Oracle from ACL Analytics is made possible through CData Connect Cloud. To work with Oracle data from ACL Analytics, we start by creating and configuring a Oracle connection in CData Connect Cloud.

1. Log into Connect Cloud, click Sources, and then click Add Connection

2. Select "Oracle" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Oracle. Enter the necessary authentication properties to connect to Oracle.

   To connect to Oracle, you'll first need to update your PATH variable and ensure it contains a folder location that includes the native DLLs. The native DLLs can be found in the lib folder inside the installation directory. Once you've done this, set the following to connect:

   • Port: The port used to connect to the server hosting the Oracle database.
   • User: The user Id provided for authentication with the Oracle database.
   • Password: The password provided for authentication with the Oracle database.
   • Service Name: The service name of the Oracle database.
   
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Oracle Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect Cloud through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect Cloud. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect Cloud app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Oracle data from ACL Analytics.

Connect to Oracle from ACL Analytics

The steps below outline connecting to CData Connect Cloud from ACL Analytics to create a new Oracle data source. The CData Connect Cloud Virtual SQL Server allows you to establish a connection to your data from integration tools that support connections to SQL servers. The Virtual SQL Server mimics the behavior of a traditional SQL server, and it supports a range of query options.

1. With your Analytics File open, select 'Import' --> 'Database and application'
2. Create a new SQL Server connection
3. Set the connection information
   • Server: tds.cdata.com
   • Port: 14333
   • Auth Scheme: Password
   • Username: a Connect Cloud user, for example, [email protected]
   • Password: the PAT for the above Connect Cloud user
   • Database: the name of your Oracle connection, for example, OracleOCI1
   
4. Click "Test Connection"
5. Click "OK"
6. You are now ready to work with your Oracle data in ACL Analytics!

Live connections to Oracle data from your applications

ACL Analytics can now connect to live Oracle data directly through Connect Cloud, allowing you to analyze Oracle data without duplicating it.

To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect Cloud today!