Connect to and Visualize Live RSS Feeds in Tableau Prep



Use CData Tableau Connectors and Tableau Prep Builder to visualize live RSS feeds.

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

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

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 Tableau Connector for RSS. If you wish to connect to RSS feeds in Tableau Cloud, you will need to use CData Connect.

Install the CData Tableau Connector

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

Connect to RSS in Tableau Prep Builder

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

You can connect to RSS and Atom feeds, as well as feeds with custom extensions. To connect to a feed, set the URL property. You can also access secure feeds. A variety of authentication mechanisms are supported. See the help documentation for details.

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

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RSS Icon RSS Tableau Connector

The fastest and easiest way to connect Tableau to RSS data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.