![]() ![]() ![]() Benefits of Refreshing Real-Time Data in Tableau In this article, we’ll explore the benefits of refreshing real-time data in Tableau and show you how to add a custom dashboard button to refresh the data on demand. However, even with Tableau’s capabilities, there may be times when you need to refresh the data in your dashboard to ensure that it remains current. Tableau, a leading data visualization and business intelligence tool, has long been known for its easy to use interface to work with data and present it in intuitive, interactive dashboards. The ability to quickly and easily access up-to-date information can be the difference between success and failure in today’s fast-paced business environment. Let's call our new Project "Adult Income".As businesses become increasingly data-driven, the importance of real-time data in decision-making has never been more critical. You can do this in Tableau Online by navigating to the projects section and clicking on the New Projects button. By default, Tableau Online creates a default project for you, but it's a good idea to create one and give it an appropriate name. You will also need to have a Tableau Project already in place on the server. Given the URL, the Site ID is ExampleSite. For Tableau Online, this can be observed within the URL itself. Also, take particular care to use the secure protocol. Important note: within KNIME, you must use the re-directed specific URL (e.g. For the steps that follow, you'll need a few pieces of information: If you don't already have a Tableau Online account, you can create a trial account here ( ). However, most of what is discussed here also applies if you host your own Tableau server. A link to the redistributable has been provided if you do need it.įor the purpose of this exercise, we'll assume that you want to publish data to Tableau Online. Some Windows users may also need to install the Visual C++ 2013 redistributable, but many Windows 10 installations already include it. Once you've updated your system path to include either the Tableau Extract API 2.0 (for Hyper) and/or the Tableau SDK (for TDE), restart KNIME. You can click the "Copy to Clipboard" button to assist in this process. ![]() If you're not sure how to do this, click on the blue instructions link to open a page that will describe the process in more detail. (Note that changing this will require program restart.) Importantly, you will need to add the string in the text box to your system's path. Here, you can select whether to use the current Hyper format or older TDE format. Next, go to File → Preferences and find the Tableau page. You can now drag and drop the Tableau nodes into your workflow, but you'll need to perform some additional one-time setup on your system's path before they will export data properly. Once you've installed the extension(s), restart KNIME and you should see the Tableau nodes in the node repository under KNIME Labs. ![]() The two extensions labeled KNIME Tableau Integration include the actual nodes, while the other extensions labeled Platform Specific Packages include the back-end support files - specifically, the Extract API or SDK files.Īdditional information on the differences between the TDE and hyper formats, along with the changes implemented in Tableau 10.5, can be found on Tableau's website. If you're not sure, you can install both, and tell KNIME which format you want to use later. Select the extensions to install according to what you need. Versions 10.4 and earlier use the older TDE format, which is created using the Tableau SDK. If you have Tableau 10.5 or later, you can use the Hyper format, which is created using the Tableau Data Extract API 2.0. ![]()
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