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

Configure Phoenix Connectivity for ACL Analytics

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

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

2. Select "Phoenix" from the Add Connection panel

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

   Connect to Apache Phoenix via the Phoenix Query Server. Set the Server and Port (if different from the default port) properties to connect to Apache Phoenix. The Server property will typically be the host name or IP address of the server hosting Apache Phoenix.

   Authenticating to Apache Phoenix

   By default, no authentication will be used (plain). If authentication is configured for your server, set AuthScheme to NEGOTIATE and set the User and Password properties (if necessary) to authenticate through Kerberos.

4. Click Save & Test
5. Navigate to the Permissions tab in the Add Phoenix Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI 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 AI. 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 AI 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 Phoenix data from ACL Analytics.

Connect to Phoenix from ACL Analytics

The steps below outline connecting to CData Connect AI from ACL Analytics to create a new Phoenix data source. The CData Connect AI 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 AI user, for example, [email protected]
   • Password: the PAT for the above Connect AI user
   • Database: the name of your Phoenix connection, for example, ApachePhoenix1
   
4. Click "Test Connection"
5. Click "OK"
6. You are now ready to work with your Phoenix data in ACL Analytics!

Live connections to Phoenix data from your applications

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

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your applications, try CData Connect AI today!