Connect to and Visualize Live Postmark Data in Tableau Prep

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

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

Install the CData Tableau Connector

When you install the CData Tableau Connector for Postmark, 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.api.taco) found in the lib folder of the connector's installation location (C:\Program Files\CData\CData Tableau Connector for Postmark 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.api.jar) found in the same lib folder to the Tableau drivers directory, typically [Tableau installation location]\Drivers.

Connect to Postmark in Tableau Prep Builder

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

Using API Key Authentication

Postmark uses server API tokens to authenticate requests. Each Postmark server has its own API token, which controls access to messages, bounces, templates, and statistics associated with that server.

To obtain your Server API Token, log in to your Postmark account and navigate to the server you want to connect to. Go to API Tokens under the server settings and copy the token labeled Server API token.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Postmark Server API Token. This value is sent as the X-Postmark-Server-Token header on every request.

Example connection string:

Profile=C:\profiles\Postmark.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your-server-api-token"

Connecting to Postmark

Once the authentication is configured, you can connect to Postmark and query data from any of the available tables such as OutboundMessages, Bounces, and Templates.

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 API Driver for Tableau with Tableau Prep Builder, you can easily join, cleanse, filter, and aggregate Postmark data for visualizations and reports in Tableau. Download a free, 30-day trial and get started today.