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Tableau is excited to announce the Analytics Extensions API, which allows developers and data scientists to integrate new programming languages and and software with Tableau's dynamic calculation language, including Python, R, and MATLAB.

Over the past few weeks, we have been closely monitoring the evolving situation with the spread of coronavirus (COVID-19) to ensure we are taking every precaution to look after our community and everyone in the Tableau #DataFam.

In the March 2020 release of Tableau Prep, explore faster cleaning operations for date fields, support for the Cloudera Impala connector, and persistent server login so you don't have to sign in every time you open Tableau Prep Builder.

On the International Day of Persons with Disabilities, Nick Hara was given two minutes to advocate for people with disabilities using data visualization. In this post, Nick shares the process behind the dashboard along with his learnings.

Every month, the Tableau #DataDev team hosts Sprint Demos for the members of the Developer Program. February Sprint Demos included extensions for Tableau Public, and updates for Webhooks, Extensions API, and JavaScript API.

We're excited to introduce a new way to license Tableau—no product keys required. Login-based license management (LBLM) allows Creators to activate Tableau Desktop or Tableau Prep by simply logging in to these products with their Tableau Server or Tableau Online credentials.

Check out these important factors for building activities into your modern analytics program that encourage stronger returns on your investment. With these approaches ingrained in your analytics strategy, you’ll add measurable value to your users and deployment faster.

In the latest release of Tableau Prep Builder (2020.1.3), we’ve added support for Level of Detail (LOD) calculations to make working with aggregations much easier. We’re also delighted to introduce Rank and Row Number functions – enabling even more ways to clean and reshape your data.

Introducing Tableau 2020.1—Dynamic parameters, viz animations, buffer calculations and much more.

Building a training program at any company can be a huge effort. Data Visualisation lead at U.K. food and delivery service, JUST EAT, shares how he built the DataChefs program in just six weeks, with tips on how to build a curriculum, secure executive sponsorship, and scale a program beyond its conception.

Apply to become a customer speaker and share your insights with thousands of other data enthusiasts. Selected from a diverse span of industries, use cases, and organisations, we welcome the highest calibre customer speakers to TC Europe.