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URL: https://www.cdata.com/kb/tech/postgresql-cloud-tableau-desktop.rst

⇱ Build PostgreSQL Visualizations in Tableau Desktop


Build PostgreSQL Visualizations in Tableau Desktop

πŸ‘ Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live PostgreSQL data and build visualizations in Tableau.

Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with CData Connect AI, you get instant, cloud-to-cloud access to PostgreSQL data for visualizations, dashboards, and more. This article shows how to connect to PostgreSQL and build visualizations from PostgreSQL data in Tableau.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for PostgreSQL, allowing you to easily build visualizations from live PostgreSQL data in Tableau without installing connectors. As you build visualizations, Tableau generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc) directly to PostgreSQL, leveraging server-side processing to quickly return PostgreSQL data.

Configure PostgreSQL Connectivity for Tableau

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

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. πŸ‘ Adding a Connection
  3. Select "PostgreSQL" from the Add Connection panel
  4. πŸ‘ Selecting a data source
  5. Enter the necessary authentication properties to connect to PostgreSQL.

    To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.

    SSH Connectivity for PostgreSQL

    You can use SSH (Secure Shell) to authenticate with PostgreSQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

    SSH Connections to PostgreSQL in Password Auth Mode

    To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:

    • User: PostgreSQL User name
    • Password: PostgreSQL Password
    • Database: PostgreSQL database name
    • Server: PostgreSQL Server name
    • Port: PostgreSQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Password"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHPassword: SSH Password

    SSH Connections to PostgreSQL in Public Key Auth Mode

    To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:

    • User: PostgreSQL User name
    • Password: PostgreSQL Password
    • Database: PostgreSQL database name
    • Server: PostgreSQL Server name
    • Port: PostgreSQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Public_Key"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHClientCret: the path for the public key certificate file
    πŸ‘ Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add PostgreSQL Connection page and update the User-based permissions. πŸ‘ Updating 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. πŸ‘ Creating a new PAT
  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 PostgreSQL data from Tableau.

Visualize Live PostgreSQL Data in Tableau

To establish a connection from Tableau Desktop to the CData Connect AI Virtual SQL Server, follow these steps.

  1. In Tableau Desktop, open a new book. Under To a Server, select More, then Microsoft SQL Server. πŸ‘ Selecting Microsoft SQL Server as the connection type.
  2. Enter your credentials:
    • Server: enter the Virtual SQL Server endpoint and port separated by a comma: tds.cdata.com,14333
    • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, PostgreSQL1).
    • Authentication: select Use a specific username and password.
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • Password: enter the PAT you previously generated.
    • Require SSL: leave this selected.
    πŸ‘ Configuring the connection to the Virtual SQL Server API.
  3. Click Sign In.
  4. Select the Database (Connect AI connection) you wish to work with and opt for a Live or Extract Connection type.
  5. Select the table(s) you wish to visualize. If you select multiple tables, define the relationship between the tables using the appropriate columns. πŸ‘ Selecting tables to visualize (Salesforce is shown)
  6. Select the fields to visualize. πŸ‘ Visualizing live data (Salesforce is shown).

Real-Time Access to PostgreSQL Data from Data Applications

At this point, you have a direct, cloud-to-cloud connection to live PostgreSQL data from your Tableau workbook. You can create new visualizations, build dashboards, and more. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from applications like Tableau, refer to our Connect AI page.