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There are no boring building roofs in Shanghai. Because “everything needs a proper cap,” says Thomas Yap, who leads the charge to establish Tableau in China. So to put on a “proper cap," Tableau co-founder and chief scientist Dr. Pat Hanrahan and I travelled to Shanghai to officially launch our operations there.

I love podcasts. They’ve lightened my commutes to and from work for years. For people interested in data, now is a great time to be subscribing to podcasts as there are a growing number of fantastic podcasts. Here are the six podcasts I recommend to you all.

I rarely get requests for Tableau dashboards on smartphones, probably because they are usually a secondary concern. That is, most business dashboards don’t automatically translate well to the phone format, so they are not high on the priority list. Here are a few things I’ve learned when making these wee dashboards that might be of help to you.

Tableau has been named one of the best places to work in Washington state—again! Puget Sound Business Journal recognized Tableau as a “gold medalist” in the large-company category of its 2015 Washington’s Best Workplace ranking.

Tableau 9.1 includes the much-anticipated web data connector, which lets you build connections to data that lives beyond the existing connectors. With this new feature, you can connect to almost any data accessible over HTTP/S including internal web services, JSON data and REST APIs.

Tableau has long been known for its flexible front end and intuitive visual interface. But today, data scientists are increasingly taking advantage of Tableau’s powerful tools for advanced analytics and predictive modeling. Leveraging Tableau’s intuitive interface, you can complete sophisticated analytics projects in a fraction of the time.

Moving data and analytics to the cloud can be a challenge. Given their variety, there’s no one-size-fit-all approach. Still, the immense benefits of the cloud outweigh those challenges, concluded a recent panel on cloud analytics at the Hotel Zetta in San Francisco.

Databases are populated with many large tables of tabular data, making them problematic to conceptualize. The ability to see and understand the data within a database easily is crucial to beginning any analysis. It turns out there are many database administrative tools that map out data models, but mapping hundreds of tables in a database tends to be a mess. Plus they are generally not available to the end users.