Connect to and Visualize Live Salesforce Data in Tableau Prep

Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Salesforce, you can easily get access to live Salesforce data within Tableau Prep. This article shows how to connect to Salesforce in Tableau Prep and build a simple chart.

The CData Tableau Connectors enable high-speed access to live Salesforce data in Tableau. Once you install the connector, you simply authenticate with Salesforce and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Salesforce data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Salesforce data.

NOTE: The CData Tableau Connectors support Tableau Prep Builder 2020.4.1 or higher. If you are using an older version of Tableau Prep Builder, you will need to use the CData JDBC Driver. If you wish to connect to Salesforce data in Tableau Cloud, you will need to use CData Connect AI.

Getting Started

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Install the CData Tableau Connector

When you install the CData Tableau Connector for Salesforce, the installer should copy the TACO and JAR files to the appropriate directories. If your data source does not appear in the connection steps below, you will need to copy two files:

1. Copy the TACO file (cdata.salesforce.taco) found in the lib folder of the connector's installation location (C:\Program Files\CData\CData Tableau Connector for Salesforce 20XX\lib on Windows) to the Tableau Prep Builder repository:
   • Windows: C:\Users\[Windows User]\Documents\My Tableau Prep Repository\Connectors
   • MacOS: /Users//Documents/My Tableau Prep Repository/Connectors
2. Copy the JAR file (cdata.tableau.salesforce.jar) found in the same lib folder to the Tableau drivers directory, typically [Tableau installation location]\Drivers.

Connect to Salesforce in Tableau Prep Builder

Open Tableau Prep Builder and click "Connect to Data" and search for "Salesforce by CData." Configure the connection and click "Sign In."

There are several authentication methods available for connecting to Salesforce: OAuth, Login (or basic), and SSO. The Login method requires you to have the username, password, and security token of the user.

OAuth Authentication (default)

The default authentication mechanism (and the one preferred by Salesforce) is OAuth. To use OAuth with CData's embedded OAuth application, leave the connection properties blank. If you have configured your own custom OAuth application with Salesforce (see the Help documentation for more information), set OAuthClientId, OAuthClientSecret, and CallbackURL to the properties for you application. Set InitiateOAuth to the desired OAuth flow ("GETANDREFRESH" will have the connector manage the entire OAuth flow).

Login (or Basic) Authentication

If you do not wish do not wish to use OAuth authentication, you can use Login (or basic) authentication. Set AuthScheme to Basic, and set the User, Password, and SecurityToken properties. You can configure your security token in Salesforce.

SSO (single sign-on) Authentication

SSO (single sign-on) can be used by setting the SSOProperties, SSOLoginUrl, and SSOExchangeURL connection properties, which allow you to authenticate to an identity provider. See the "Getting Started" chapter in the Help documentation for more information.

Multi-Factor Authentication (MFA)

If your Salesforce org has MFA enforcement enabled, set MFACode to the time-based one-time passcode (TOTP) generated by your authenticator app (such as Salesforce Authenticator or Google Authenticator). MFACode applies to both OAuth and Login authentication flows.

Discover and Prep Data

Drag the tables and views you wish to work with onto the canvas. You can include multiple tables.

Data Cleansing & Filtering

To further prepare the data, you can implement filters, remove duplicates, modify columns and more.

1. Start by clicking on the plus next to your table and selecting the Clean Step option.
2. Select the field values to filter by. As you select values, you can see how your selections impact other fields.
3. Opt to "Keep Only" or "Exclude" entries with your select values and the data changes in response.

Data Joins and Unions

Data joining involves combining data from two or more related tables based on a common field or key.

1. To join multiple tables, drag a related table next to an existing table in the canvas and place it in the Join box.
2. Select the foreign keys that exist in both tables.

Exporting Prepped Data

After you perform any cleansing, filtering, transformations, and joins, you can export the data for visualization in Tableau.

1. Add any other needed transformations then insert an Output node at the end of the flow.
2. Configure the node to save to a file in the format of your choice.

Once the output data is saved, you can work with it in Tableau, just like you would any other file source.

Using the CData Tableau Connector for Salesforce with Tableau Prep Builder, you can easily join, cleanse, filter, and aggregate Salesforce data for visualizations and reports in Tableau. Download a free, 30-day trial and get started today.