Build EnterpriseDB-Connected Visualizations in datapine

datapine is a browser-based business intelligence platform. When paired with the CData Connect AI, you get access to your EnterpriseDB data directly from your datapine visualizations and dashboards. This article describes connecting to EnterpriseDB in CData Connect AI and building a simple EnterpriseDB-connected visualization in datapine.

CData Connect AI provides a pure SQL Server interface for EnterpriseDB, allowing you to query data from EnterpriseDB without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to EnterpriseDB, leveraging server-side processing to return the requested EnterpriseDB data quickly.

Configure EnterpriseDB Connectivity for datapine

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

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

2. Select "EnterpriseDB" from the Add Connection panel

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

   The following connection properties are required in order to connect to data.

   • Server: The host name or IP of the server hosting the EnterpriseDB database.
   • Port: The port of the server hosting the EnterpriseDB database.

   You can also optionally set the following:

   • Database: The default database to connect to when connecting to the EnterpriseDB Server. If this is not set, the user's default database will be used.

   Connect Using Standard Authentication

   To authenticate using standard authentication, set the following:

   • User: The user which will be used to authenticate with the EnterpriseDB server.
   • Password: The password which will be used to authenticate with the EnterpriseDB server.

   Connect Using SSL Authentication

   You can leverage SSL authentication to connect to EnterpriseDB data via a secure session. Configure the following connection properties to connect to data:

   • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
   • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
   • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
   • SSLClientCertType: The certificate type of the client store.
   • SSLServerCert: The certificate to be accepted from the server.
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add EnterpriseDB 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 EnterpriseDB data from datapine.

Connecting to EnterpriseDB from datapine

Once you configure your connection to EnterpriseDB in Connect AI, you are ready to connect to EnterpriseDB from datapine.

1. Log into datapine
2. Click Connect to navigate to the "Connect" page
3. Select MS SQL Server as the data source
4. In the Integration step, fill in the connection properties and click "Save and Proceed"
   • Set the Internal Name
   • Set Database Name to the name of the connection we just configured (e.g. EnterpriseDB1)
   • Set Host / IP to "tds.cdata.com"
   • Set Username to your Connect AI username (e.g. [email protected])
   • Set Password to the corresponding PAT
   • Set Database Port to "14333"
   
5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed"
6. In the References step, define any relationships between your selected tables and click "Save and Proceed"
7. In the Data Transfer step, click "Go to Analyzer"

Visualize EnterpriseDB Data in datapine

After connecting to CData Connect AI, you are ready to visualize your EnterpriseDB data in datapine. Simply select the dimensions and measures you wish to visualize!

Having connect to EnterpriseDB from datapine, you are now able to visualize and analyze real-time EnterpriseDB data no matter where you are. To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect AI today!