All Research & Development Stories

Tableau researchers show how visualization tools can leverage analytic intent and recommendations to help users compose dashboards.

Exploring opportunities to facilitate data reconnaissance through automation and visualization.

Helping people see and understand data in their own language and culture.

Learn how the Tableau team eliminated thousands of desktop tests written in Python 2.7

Integrating insights and analytics into current data worker workflows across industries and job functions.

A look at the various explanations Explain Data can surface and what conclusions can be drawn from them.

A recipe for implementing parallelized computations using AWS Lambda, S3, and DynamoDB.

Learn how to set up a repeatable infrastructure for prototypes that's always on, low cost, and low maintenance.

Taking a deep dive into HyperLogLog and other distinct counting sketches from a researcher’s perspective.

Empowering developers to iterate more quickly and focus on delivering a single, high-quality experience to users.

Learn how to use the Hyper API to efficiently union multiple Hyper files into one, improving performance and avoiding data movement in Python.

Learn how to use Natural Language Interfaces for data exploration and analysis.