![]() Ever heard of the term “backend for a frontend”? Without Tableau, very often your external analytics faces a similar bottleneck: “backend for a dashboard.” First of all, rarely are web services purpose-built for a dashboard, so often front-end developers stitch together multiple endpoints that over time evolve separately. If you’ve had a similar experience, this should immediately translate into significant time and money. Given that Tableau translates user interactions directly into SQL, a major Tableau selling point is that it frees analysts from dependence on a separate web services layer (i.e., an ORM, which is what usually writes SQL for developers and API endpoints) that needs to be designed, secured, built, and maintained by large teams of developers. As a result, analytics in your app will be feature-rich and built to scale. The REST API is the key to leveraging Tableau as a platform. With Tableau, you can be the first person to take your idea to the world. People you work with know it is valuable. Tableau has solved many of the most challenging data problems for customers all over the world, so integrating with Tableau means that you can go to market sooner and more reliably, and delight your users with many more features. The Tableau REST API allows you to leverage a best-in-class data visualization platform to monetize your data assets as it allows you to write integrations between your application and the Tableau layer. Responses from the REST API are personalized to each user, allowing you to enforce Tableau’s built-in security features, even when requesting assets, such as pdfs, slides, and data sets. For example, you can request thumbnails and high-resolution images from Tableau, so you can build beautiful catalogs and menus to help end users explore analytical content. Developers can request assets from Tableau via HTTP calls to meet various needs. This sample application uses a combination of Tableau APIs to deliver rich analytical features at a fraction of the cost, effort, and time that it would take to develop the same capabilities in-house. The API publishing methods can be integrated into your own review and approval process. Developers can respond to webhook events on assets, such as a Tableau user updating a template workbook, using Tableau’s UI and then respond to that event by publishing this new workbook to a staging or production environment with the REST API. Readers interested in DevOps should know that these methods can perform useful tasks, such as migrating Tableau assets between sites or environments. The built-in scheduler can help the admin run refreshes at fixed times while Tableau APIs allow these tasks to be triggered asynchronously after certain conditions are met. An example of this kind of scenario would be an admin who leverages Tableau webhooks to receive notifications when a particular data source refreshes and then responds by triggering a separate extract refresh task. You can simplify your duties as a server admin with automation via scheduled or event-driven scripts. In other words, you can write code that tells Tableau what to do. ![]() In fact, if you have used the beloved command line utility Tabcmd or the Tableau Server Client Python library in the past, you should know that both of these technologies use the Tableau REST API. Tableau has methods for users, workbooks, data sources, projects, permissions, and more. These are the kinds of challenges where the developer experience can mean the difference between a surface-level implementation and true magic.Ī glance at the API reference is enough to understand the thoroughness of the Tableau REST API surface, and a more in-depth review of key concepts will clear the rest of the way. Learning how to use a new API can be a daunting task. This blog post aims to help you get started with the Tableau REST API, so that you can build solutions that combine both of these domains. APIs are the interfaces that allow applications to work with each other. Want to programmatically manage analytical extensions to run Einstein predictions, as well as Python and R code in Tableau? Yes, the answer is also: use the REST API!ĭata is the raw resource that applications require in order to run. Do you want a list of Tableau dashboards available to specific users, so you can build a flashy analytics catalog in Experience Cloud? The answer is: use the REST API. Salesforce developers now have access to improved tooling, which speeds up the adoption of Tableau as a visualization layer for data located inside and outside of Salesforce products. Having access to the REST API is great for any Tableau admin, and it is crucial when developing analytical apps with Tableau. The new Postman Collection for the Tableau REST API can help make developers more productive, and it democratizes access to API capabilities just as much as Tableau itself democratizes data analytics. ![]()
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